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Data moats, stealthy AI, and more: AI Con 2024 notes

November 25, 2024
image showcasing some of the speakers from AI Con 2024

Earlier this month, I was delighted to participate in a panel discussion as part of Sydney’s AI Con 2024. +I felt like a bit of an impostor as I found myself on the cover banner alongside truly accomplished speakers like Cassie Kozyrkov and Mike Bewley, but it all went smoothly.

This post summarises five themes from the conference:

  • Data is the moat (but data scientist is a somewhat toxic term)
  • Stealthy AI use may be the wisest approach
  • Chatty is a UX revolution – model building is dead
  • Testing is key
  • Business and product fundamentals remain unchanged

The talks weren’t recorded, so I’m basing this post on rereading my notes a few weeks later. +Also, some of my takeaways draw on conversations from the best part of any conference: The Hallway Track. +Therefore, I apologise if I misquoted any speaker, and I’d be happy to update the post if needed.

Data is the moat (but data scientist is a somewhat toxic term)

As I’ve been banging on about how data is still key to success in the GenAI world, it was great to feed my confirmation bias. +For example, Mike Bewley noted that much of Nearmap’s competitive advantage comes from the proprietary dataset they collected. +Their dataset is harder to replicate than the AI layer (which is also world-class).

This view of proprietary data as a moat was echoed by other speakers and discussions. +However, despite what we might have thought about a decade ago, data scientists are no longer the superstars they used to be. +In fact, data scientist is a somewhat toxic term. +It’s now clear that data & AI success requires more than unicorn data scientists – it’s an engineering-heavy endeavour.

Stealthy AI use may be the wisest approach

“If you can ask ChatGPT something and get a good answer, so can anyone else” (paraphrasing Rami Mukhtar).

One corollary to this quote is to avoid building a product that is a thin wrapper around an AI model, or ensuring that you have a data moat.

Another approach is to stop worrying about customer-facing AI:

  • You can use AI for back & middle office automation, as done by some companies in the long tail of AI, or by one of the startups cited in my talk.
  • You can use AI for trading or betting decisions and not tell anyone about it.
  • As an individual in an organisation with restrictive IT policies, use AI on your personal device (but don’t be an idiot about it).

My sense is that such stealthy AI use cases are on the rise. It’s just not as exciting and visible as sprinkling GenAI fairy dust ✨ on your product.

Chatty is a UX revolution – model building is dead

Cassie Kozyrkov’s talk was in line with what you’d expect from her other content. +I’m not much of a Cassie follower, but poking around her YouTube channel I found the Making Friends with Machine Learning series. +Her keynote covered similar ground, but shorter and updated for the age of GenAI – so not too surprising in terms of content for those who are already in the field (though she is a brilliant speaker).

That said, one of the things I got out of Cassie’s talk is that she sees ChatGPT and other GenAI advances as a user experience (UX) revolution. +That is, from the perspective of practitioners training the models, not much has changed. +But from the perspective of the broader population, a lot has changed: AI is now accessible to many more people.

In a separate talk, Greg Baker argued that things have changed for practitioners too. +In his words, “model building is dead”. +This is a bold claim that I initially disagreed with, but considering the caveats he included in his post on the topic, I’m more or less in agreement. +There is now a broad variety of tasks where prompting is the best approach – effectively killing model building unless you have the data and use case to justify it.

Testing is key

Even if model building is dead for some tasks, we can’t get away from testing. +This was highlighted in several points from Cassie’s talk:

  • Beware the AI reliability paradox: intuitively trusting AI because you haven’t seen it make mistakes (echoing stop using LGTM@Few as a metric).
  • Test everything in the context of the deployed system.
  • Define mistakes based on the purpose of the system, where the purpose depends on the people.
  • Things get trickier with GenAI in comparison to traditional (discriminative) AI/ML: now there are endless “right” answers rather than a single one.
  • You still need to work with data and stats specialists if you’re serious about testing.

My impression is that the last point isn’t broadly understood and applied, even among data specialists. +This is partly due to the toxicity of the data scientist term, which is somewhat justified. +Looking at it from an outsider’s perspective, if you’ve only worked with low-skilled data scientists or those who are over-excited about building models, you would be skeptical of the value of data science – especially in light of the historical hype. +But no matter how you feel about evaluating your AI system, if you get serious about it, you’ll eventually come to appreciate the importance of rigorous testing.

Business and product fundamentals remain unchanged

While AI tech is way more capable than it was earlier this century, some things move more slowly.

First, the fundamentals of dealing with enterprise organisations, as covered by Stephen Samild. +I don’t have good notes on this, but here are a couple of tables summarising key slides. +I’ve been contemplating these a lot recently, as they capture some of my career experience. +For example, the numbers in the second table give the pecking order of parts of the organisation, which explains why many data teams feel neglected and under-appreciated. +The way out of this feeling is to better support Sales or Product work – not by building better models.

OrgMarket relationshipNew tech relationship
StartupFindExistential
ScaleupGrowOpportunistic
EnterpriseProtectNarcissistic
GovernmentRegulateDomestication
Looking outLooking in
Taking orders(1) Sales(2) Product
Fulfilling orders(3) Customer Service(4) Shared Services

Second, my talk was on the fundamentals: Redefining the FLOPS acronym as a guide to failing with AI (slides).

  • Forget the end users
  • Laugh off data issues
  • Obsess over shiny tech
  • Procrastinate on pipelines
  • Stick AI everywhere ✨

I demonstrated these points through quick stories from my experience, and ended with flipping the FLOPS for success:

  • Follow end user needs
  • Loathe data issues
  • Observe shiny tech suspiciously
  • Prepare pipelines early
  • Stick AI where it belongs

None of this should be particularly new to anyone who’s been following me, but I suppose that highlighting the fundamentals from different angles is necessary. +I still see people making mistakes I’ve made over a decade ago (and I sometime repeat my own mistakes).

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    Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | +Powered by +Hugo & + PaperMod
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zYby_-l;IQE{^0f*nLUJp+Sat3jLf94!YBIJ-ZFiftxn5qxfwj*8Z=#y;**9?5A#UT zEX&RKm1R3Llb`0Z9V%cHnxL-^6q-*z5KYq@Gh+kWHBGfGXc?Jp7lEYoXS*JagsE%T zBJ1~#G%b}6G#XV>Z5?T6@NlF@U(}`fJWGvp#}&S>VvgC9jBYNzkWu?{rO3p&D}6_` zi*O~?2q{@W%h*LAv@(2nfP#vp5N=rS}XdEHK{TAvGA^mSIHesh4K zOfNT^m|}xZ(GxJn8Z%AJgW`Nr)F!o!t_7S6`O%^yU19sBg6|hfmKZ7duE>uX=BC{0 zEL7d0iYeR>)ONPJyENSt#SvsaUyjIPakOL<{Gwx&N(F?5hv+q_qG@-ktqu>laC+&x LxuK!a@lx);v`Z!$ literal 0 HcmV?d00001 diff --git a/index.xml b/index.xml index 61d9f0a33..d155df442 100644 --- a/index.xml +++ b/index.xml @@ -1 +1 @@ -Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/Recent content on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 18 Nov 2024 11:12:27 +1000Don't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.In praise of inconsistency: Ditching weekly postshttps://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.Data, AI, humans, and climate: Carving a consulting nichehttps://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Podcast chat on the reality of Data &amp; AI and my consulting focus: Helping climate &amp; nature tech startups ship data-intensive solutions.Juggling delivery, admin, and leads: Monthly biz recaphttps://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Mon, 02 Sep 2024 02:30:00 +0000https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp; politics.AI hype, AI bullshit, and the real dealhttps://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/Mon, 26 Aug 2024 01:00:00 +0000https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.Giving up on the minimum viable data stackhttps://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Mon, 19 Aug 2024 03:30:00 +0000https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.Keep learning: Your career is never truly donehttps://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Mon, 12 Aug 2024 01:30:00 +0000https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Podcast chat on my career journey from software engineering to data science and independent consulting.First year lessons from a solo expertise biz in Data & AIhttps://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Mon, 05 Aug 2024 08:45:00 +0000https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Reflections on building a solo expertise business in Data &amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.AI/ML lifecycle models versus real-world messhttps://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/Mon, 29 Jul 2024 06:00:00 +0000https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/The real world of AI/ML doesn&rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Exploring an AI product idea with the latest ChatGPT, Claude, and Geminihttps://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Mon, 08 Jul 2024 02:45:00 +0000https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.Stay alert! Security is everyone's responsibilityhttps://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Mon, 01 Jul 2024 02:00:00 +0000https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.Five team-building mistakes, according to Patty McCordhttps://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Wed, 26 Jun 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Takeaways from an interview with Patty McCord on The Startup Podcast.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.Dealing with endless data changeshttps://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Sat, 22 Jun 2024 22:50:00 +0000https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.The rules of the passion economyhttps://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/Wed, 12 Jun 2024 02:50:00 +0000https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/Summary of the main messages from the book The Passion Economy by Adam Davidson.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.How to avoid startups with poor development processeshttps://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Mon, 03 Jun 2024 02:45:00 +0000https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Adapting to the economy of algorithmshttps://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Sat, 25 May 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.Question startup culture before accepting a data-to-AI rolehttps://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Mon, 20 May 2024 02:25:00 +0000https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Eight questions that prospective data-to-AI employees should ask about a startup&rsquo;s work and data culture.Probing the People aspects of an early-stage startuphttps://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Mon, 13 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Ten questions that prospective employees should ask about a startup&rsquo;s team, especially for data-centric roles.Business questions to ask before taking a startup data rolehttps://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Mon, 06 May 2024 04:30:00 +0000https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Fourteen questions that prospective employees should ask about a startup&rsquo;s business model and product, especially for data-focused roles.Mentorship and the art of actionable advicehttps://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Mon, 29 Apr 2024 06:30:00 +0000https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.AI does not obviate the need for testing and observabilityhttps://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/Mon, 15 Apr 2024 05:00:00 +0000https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/It&rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.LinkedIn is a teachable skillhttps://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/Thu, 11 Apr 2024 01:45:25 +0000https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/An high-level overview of things I learned from Justin Welsh&rsquo;s LinkedIn Operating System course.My experience as a Data Tech Lead with Work on Climatehttps://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp; fractional work.The data engineering lifecycle is not going anywherehttps://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/Fri, 05 Apr 2024 01:00:00 +0000https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/My key takeaways from reading Fundamentals of Data Engineering by Joe Reis and Matt Housley.Artificial intelligence, automation, and the art of counting fishhttps://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Mon, 01 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.Atomic Habits is full of actionable advicehttps://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/Tue, 12 Mar 2024 06:19:31 +0000https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/I put the book to use after the first listen, and will definitely revisit it in the future to form better habits.Questions to consider when using AI for PDF data extractionhttps://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Mon, 11 Mar 2024 00:00:00 +0000https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.Two types of startup data problemshttps://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Mon, 04 Mar 2024 02:00:00 +0000https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&rsquo;re likely to face.Avoiding AI complexity: First, write no codehttps://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Mon, 26 Feb 2024 01:45:00 +0000https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.Building your startup's minimum viable data stackhttps://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/Mon, 19 Feb 2024 00:00:00 +0000https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.The three Cs of indie consulting: Confidence, Cash, and Connectionshttps://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/Sat, 17 Feb 2024 02:00:00 +0000https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.Nudging ChatGPT to invent books you have no time to readhttps://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Mon, 12 Feb 2024 05:00:00 +0000https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.Future software development may require fewer humanshttps://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/Tue, 06 Feb 2024 06:15:00 +0000https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/Reflecting on an interview with Jason Warner, CEO of poolside.Substance over titles: Your first data hire may be a data scientisthttps://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Mon, 05 Feb 2024 02:45:00 +0000https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Advice for hiring a startup&rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.New decade, new tagline: Data & AI for Impacthttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Fri, 19 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Shifting focus to &lsquo;Data &amp; AI for Impact&rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.Psychographic specialisations may work for discipline generalistshttps://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/When focusing on a market segment defined by personal beliefs, it&rsquo;s often fine to position yourself as a generalist in your craft.The power of parasocial relationshipshttps://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Mon, 08 Jan 2024 06:00:00 +0000https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Repeated exposure to media personas creates relationships that help justify premium fees.Positioning is a common problem for data scientistshttps://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.Transfer learning applies to energy market biddinghttps://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/An interesting approach to bidding of energy storage assets, showing that training on New York data is transferable to Queensland.Supporting volunteer monitoring of marine biodiversity with modern web and data toolshttps://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Summarising the work Uri Seroussi and I did to improve Reef Life Survey&rsquo;s Reef Species of the World app.Our Blue Machine is changing, but we are not helplesshttps://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/Tue, 28 Nov 2023 06:40:00 +0000https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/One of my many highlights from Helen Czerski&rsquo;s Blue Machine.You don't need a proprietary API for static mapshttps://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/Tue, 21 Nov 2023 06:00:00 +0000https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.Artificial intelligence was a marketing term all along – just call it automationhttps://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Replacing &lsquo;artificial intelligence&rsquo; with &lsquo;automation&rsquo; is a useful trick for cutting through the hype.The lines between solo consulting and product building are blurryhttps://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/Mon, 25 Sep 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.The Minimalist Entrepreneur is too prescriptive for mehttps://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/Mon, 21 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&rsquo;s experience.Revisiting Start Small, Stay Small in 2023 (Chapter 2)https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/Thu, 17 Aug 2023 07:45:00 +0000https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/A summary of the second chapter of Rob Walling&rsquo;s Start Small, Stay Small, along with my thoughts &amp; reflections.Revisiting Start Small, Stay Small in 2023 (Chapter 1)https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/Wed, 16 Aug 2023 05:45:00 +0000https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/A summary of the first chapter of Rob Walling&rsquo;s Start Small, Stay Small, along with my thoughts &amp; reflections.Email notifications on public GitHub commitshttps://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/Mon, 14 Aug 2023 05:15:00 +0000https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/GitHub publishes an Atom feed, which means you can use any RSS reader to follow commits.The rule of thirds can probably be ignoredhttps://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/Fri, 11 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/Turns out that the rule of thirds for composing visuals may not be that important.Using YubiKey for SSH accesshttps://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/Some pointers for setting up SSH access with YubiKey on Ubuntu 22.04.Making a TIL section with Hugo and PaperModhttps://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/Mon, 17 Jul 2023 00:06:15 +0000https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/How I added a Today I Learned section to my Hugo site with the PaperMod theme.You can't save timehttps://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Tue, 11 Jul 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Time can be spent doing different activities, but it can&rsquo;t be stored and saved for later.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal&rsquo;s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&rsquo;s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.Migrating from WordPress.com to Hugo on GitHub + Cloudflarehttps://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&rsquo;ve done with the company.Some highlights from 2020https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Mon, 05 Apr 2021 06:41:48 +0000https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Sharing remote teamwork insights, my climate &amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&rsquo;s Experimentation Platform.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&rsquo;t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.State of Bandcamp Recommender, Late 2017https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Call for BCRecommender maintainers followed by a decision to shut it down, as I don&rsquo;t have enough time and Bandcamp now offers recommendations.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There&rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&rsquo;s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp; how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&rsquo;s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it&rsquo;s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as &ldquo;insights&rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Migrating a simple web application from MongoDB to Elasticsearchhttps://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Goodbye, Parse.comhttps://yanirseroussi.com/2015/07/31/goodbye-parse-com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/2015/07/31/goodbye-parse-com/Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Deep learning resourceshttps://yanirseroussi.com/deep-learning-resources/Mon, 06 Jul 2015 00:38:44 +0000https://yanirseroussi.com/deep-learning-resources/Useful posts and papers on the topic of deep learning (circa 2015).Hopping on the deep learning bandwagonhttps://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/Sat, 06 Jun 2015 05:00:22 +0000https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.First steps in data science: author-aware sentiment analysishttps://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.My divestment from fossil fuelshttps://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Recent choices I&rsquo;ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/My team&rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Thu, 29 Jan 2015 10:37:39 +0000https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).Automating Parse.com bulk data importshttps://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/Thu, 15 Jan 2015 04:41:16 +0000https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/A script for importing data into the Parse backend-as-a-service.Stochastic Gradient Boosting: Choosing the Best Number of Iterationshttps://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.SEO: Mostly about showing up?https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/Mon, 15 Dec 2014 04:25:25 +0000https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.BCRecommender Traction Updatehttps://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.What is data science?https://yanirseroussi.com/2014/10/23/what-is-data-science/Thu, 23 Oct 2014 03:22:08 +0000https://yanirseroussi.com/2014/10/23/what-is-data-science/Data science has been a hot term in the past few years. Still, there isn&rsquo;t a single definition of the field. This post discusses my favourite definition.Greek Media Monitoring Kaggle competition: My approachhttps://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.Applying the Traction Book’s Bullseye framework to BCRecommenderhttps://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Wed, 24 Sep 2014 04:57:39 +0000https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Ranking 19 channels with the goal of getting traction for BCRecommender.Bandcamp recommendation and discovery algorithmshttps://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/Fri, 19 Sep 2014 14:26:55 +0000https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Sun, 07 Sep 2014 10:48:44 +0000https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.Building a Bandcamp recommender system (part 1 – motivation)https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/Sat, 30 Aug 2014 08:11:38 +0000https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/My motivation behind building BCRecommender, a free recommendation &amp; discovery service for Bandcamp music.How to (almost) win Kaggle competitionshttps://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp; insights can only be as good as the underlying data.Kaggle competition tips and summarieshttps://yanirseroussi.com/kaggle/Sat, 05 Apr 2014 23:46:10 +0000https://yanirseroussi.com/kaggle/Pointers to all my Kaggle advice posts and competition summaries.Kaggle beginner tipshttps://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/Sun, 19 Jan 2014 10:34:28 +0000https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.About Yanir: Startup Data & AI Consultanthttps://yanirseroussi.com/about/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/about/About Yanir Seroussi, a hands-on data tech lead with over a decade of experience. Yanir helps climate/nature tech startups ship data-intensive solutions.Book a free fifteen-minute callhttps://yanirseroussi.com/free-intro-call/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/free-intro-call/Booking form for a quick intro call with Yanir Seroussi.Causal inference resourceshttps://yanirseroussi.com/causal-inference-resources/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/causal-inference-resources/Useful books, articles, and courses on the topic of causal inference.Free Guide: Data-to-AI Health Check for Startupshttps://yanirseroussi.com/data-to-ai-health-check/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/data-to-ai-health-check/Download a free PDF guide that helps you assess a startup&rsquo;s Data-to-AI health by probing eight key areas.Helping climate & nature tech startups ship data-intensive solutionshttps://yanirseroussi.com/consult/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/consult/Consulting for climate &amp; nature tech startups: Strategic advice, implementation of Data/AI/ML solutions, and hiring help by an experienced tech leader.Speaking engagements by Yanir: Startup Data & AI Consultanthttps://yanirseroussi.com/talks/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/talks/Yanir Seroussi speaks on data science, artificial intelligence, machine learning, and career journey.Stay in touchhttps://yanirseroussi.com/contact/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/contact/Contact me or subscribe to the mailing list. \ No newline at end of file +Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/Recent content on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 25 Nov 2024 13:32:00 +1000Data moats, stealthy AI, and more: AI Con 2024 noteshttps://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Themes from AI Con 2024: data moats, stealthy AI use, Chatty&rsquo;s UX revolution, and enduring fundamentalsDon't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.In praise of inconsistency: Ditching weekly postshttps://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.Data, AI, humans, and climate: Carving a consulting nichehttps://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Podcast chat on the reality of Data &amp; AI and my consulting focus: Helping climate &amp; nature tech startups ship data-intensive solutions.Juggling delivery, admin, and leads: Monthly biz recaphttps://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Mon, 02 Sep 2024 02:30:00 +0000https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp; politics.AI hype, AI bullshit, and the real dealhttps://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/Mon, 26 Aug 2024 01:00:00 +0000https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.Giving up on the minimum viable data stackhttps://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Mon, 19 Aug 2024 03:30:00 +0000https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.Keep learning: Your career is never truly donehttps://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Mon, 12 Aug 2024 01:30:00 +0000https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Podcast chat on my career journey from software engineering to data science and independent consulting.First year lessons from a solo expertise biz in Data & AIhttps://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Mon, 05 Aug 2024 08:45:00 +0000https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Reflections on building a solo expertise business in Data &amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.AI/ML lifecycle models versus real-world messhttps://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/Mon, 29 Jul 2024 06:00:00 +0000https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/The real world of AI/ML doesn&rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Exploring an AI product idea with the latest ChatGPT, Claude, and Geminihttps://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Mon, 08 Jul 2024 02:45:00 +0000https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.Stay alert! Security is everyone's responsibilityhttps://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Mon, 01 Jul 2024 02:00:00 +0000https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.Five team-building mistakes, according to Patty McCordhttps://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Wed, 26 Jun 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Takeaways from an interview with Patty McCord on The Startup Podcast.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.Dealing with endless data changeshttps://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Sat, 22 Jun 2024 22:50:00 +0000https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.The rules of the passion economyhttps://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/Wed, 12 Jun 2024 02:50:00 +0000https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/Summary of the main messages from the book The Passion Economy by Adam Davidson.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.How to avoid startups with poor development processeshttps://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Mon, 03 Jun 2024 02:45:00 +0000https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Adapting to the economy of algorithmshttps://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Sat, 25 May 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.Question startup culture before accepting a data-to-AI rolehttps://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Mon, 20 May 2024 02:25:00 +0000https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Eight questions that prospective data-to-AI employees should ask about a startup&rsquo;s work and data culture.Probing the People aspects of an early-stage startuphttps://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Mon, 13 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Ten questions that prospective employees should ask about a startup&rsquo;s team, especially for data-centric roles.Business questions to ask before taking a startup data rolehttps://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Mon, 06 May 2024 04:30:00 +0000https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Fourteen questions that prospective employees should ask about a startup&rsquo;s business model and product, especially for data-focused roles.Mentorship and the art of actionable advicehttps://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Mon, 29 Apr 2024 06:30:00 +0000https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.AI does not obviate the need for testing and observabilityhttps://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/Mon, 15 Apr 2024 05:00:00 +0000https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/It&rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.LinkedIn is a teachable skillhttps://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/Thu, 11 Apr 2024 01:45:25 +0000https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/An high-level overview of things I learned from Justin Welsh&rsquo;s LinkedIn Operating System course.My experience as a Data Tech Lead with Work on Climatehttps://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp; fractional work.The data engineering lifecycle is not going anywherehttps://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/Fri, 05 Apr 2024 01:00:00 +0000https://yanirseroussi.com/til/2024/04/05/the-data-engineering-lifecycle-is-not-going-anywhere/My key takeaways from reading Fundamentals of Data Engineering by Joe Reis and Matt Housley.Artificial intelligence, automation, and the art of counting fishhttps://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Mon, 01 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.Atomic Habits is full of actionable advicehttps://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/Tue, 12 Mar 2024 06:19:31 +0000https://yanirseroussi.com/til/2024/03/12/atomic-habits-is-full-of-actionable-advice/I put the book to use after the first listen, and will definitely revisit it in the future to form better habits.Questions to consider when using AI for PDF data extractionhttps://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Mon, 11 Mar 2024 00:00:00 +0000https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.Two types of startup data problemshttps://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Mon, 04 Mar 2024 02:00:00 +0000https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&rsquo;re likely to face.Avoiding AI complexity: First, write no codehttps://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Mon, 26 Feb 2024 01:45:00 +0000https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.Building your startup's minimum viable data stackhttps://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/Mon, 19 Feb 2024 00:00:00 +0000https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.The three Cs of indie consulting: Confidence, Cash, and Connectionshttps://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/Sat, 17 Feb 2024 02:00:00 +0000https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.Nudging ChatGPT to invent books you have no time to readhttps://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Mon, 12 Feb 2024 05:00:00 +0000https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.Future software development may require fewer humanshttps://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/Tue, 06 Feb 2024 06:15:00 +0000https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/Reflecting on an interview with Jason Warner, CEO of poolside.Substance over titles: Your first data hire may be a data scientisthttps://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Mon, 05 Feb 2024 02:45:00 +0000https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Advice for hiring a startup&rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.New decade, new tagline: Data & AI for Impacthttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Fri, 19 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Shifting focus to &lsquo;Data &amp; AI for Impact&rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.Psychographic specialisations may work for discipline generalistshttps://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/When focusing on a market segment defined by personal beliefs, it&rsquo;s often fine to position yourself as a generalist in your craft.The power of parasocial relationshipshttps://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Mon, 08 Jan 2024 06:00:00 +0000https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Repeated exposure to media personas creates relationships that help justify premium fees.Positioning is a common problem for data scientistshttps://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.Transfer learning applies to energy market biddinghttps://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/til/2023/12/14/transfer-learning-applies-to-energy-market-bidding/An interesting approach to bidding of energy storage assets, showing that training on New York data is transferable to Queensland.Supporting volunteer monitoring of marine biodiversity with modern web and data toolshttps://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Summarising the work Uri Seroussi and I did to improve Reef Life Survey&rsquo;s Reef Species of the World app.Our Blue Machine is changing, but we are not helplesshttps://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/Tue, 28 Nov 2023 06:40:00 +0000https://yanirseroussi.com/til/2023/11/28/our-blue-machine-is-changing-but-we-are-not-helpless/One of my many highlights from Helen Czerski&rsquo;s Blue Machine.You don't need a proprietary API for static mapshttps://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/Tue, 21 Nov 2023 06:00:00 +0000https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.Artificial intelligence was a marketing term all along – just call it automationhttps://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Replacing &lsquo;artificial intelligence&rsquo; with &lsquo;automation&rsquo; is a useful trick for cutting through the hype.The lines between solo consulting and product building are blurryhttps://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/Mon, 25 Sep 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.The Minimalist Entrepreneur is too prescriptive for mehttps://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/Mon, 21 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&rsquo;s experience.Revisiting Start Small, Stay Small in 2023 (Chapter 2)https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/Thu, 17 Aug 2023 07:45:00 +0000https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/A summary of the second chapter of Rob Walling&rsquo;s Start Small, Stay Small, along with my thoughts &amp; reflections.Revisiting Start Small, Stay Small in 2023 (Chapter 1)https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/Wed, 16 Aug 2023 05:45:00 +0000https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/A summary of the first chapter of Rob Walling&rsquo;s Start Small, Stay Small, along with my thoughts &amp; reflections.Email notifications on public GitHub commitshttps://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/Mon, 14 Aug 2023 05:15:00 +0000https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/GitHub publishes an Atom feed, which means you can use any RSS reader to follow commits.The rule of thirds can probably be ignoredhttps://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/Fri, 11 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/Turns out that the rule of thirds for composing visuals may not be that important.Using YubiKey for SSH accesshttps://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/Some pointers for setting up SSH access with YubiKey on Ubuntu 22.04.Making a TIL section with Hugo and PaperModhttps://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/Mon, 17 Jul 2023 00:06:15 +0000https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/How I added a Today I Learned section to my Hugo site with the PaperMod theme.You can't save timehttps://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Tue, 11 Jul 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/Time can be spent doing different activities, but it can&rsquo;t be stored and saved for later.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal&rsquo;s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&rsquo;s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.Migrating from WordPress.com to Hugo on GitHub + Cloudflarehttps://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&rsquo;ve done with the company.Some highlights from 2020https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Mon, 05 Apr 2021 06:41:48 +0000https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Sharing remote teamwork insights, my climate &amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&rsquo;s Experimentation Platform.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&rsquo;t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.State of Bandcamp Recommender, Late 2017https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Call for BCRecommender maintainers followed by a decision to shut it down, as I don&rsquo;t have enough time and Bandcamp now offers recommendations.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There&rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&rsquo;s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp; how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&rsquo;s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it&rsquo;s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as &ldquo;insights&rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Migrating a simple web application from MongoDB to Elasticsearchhttps://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Goodbye, Parse.comhttps://yanirseroussi.com/2015/07/31/goodbye-parse-com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/2015/07/31/goodbye-parse-com/Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Deep learning resourceshttps://yanirseroussi.com/deep-learning-resources/Mon, 06 Jul 2015 00:38:44 +0000https://yanirseroussi.com/deep-learning-resources/Useful posts and papers on the topic of deep learning (circa 2015).Hopping on the deep learning bandwagonhttps://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/Sat, 06 Jun 2015 05:00:22 +0000https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.First steps in data science: author-aware sentiment analysishttps://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.My divestment from fossil fuelshttps://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Recent choices I&rsquo;ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/My team&rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Thu, 29 Jan 2015 10:37:39 +0000https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).Automating Parse.com bulk data importshttps://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/Thu, 15 Jan 2015 04:41:16 +0000https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/A script for importing data into the Parse backend-as-a-service.Stochastic Gradient Boosting: Choosing the Best Number of Iterationshttps://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.SEO: Mostly about showing up?https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/Mon, 15 Dec 2014 04:25:25 +0000https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.BCRecommender Traction Updatehttps://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.What is data science?https://yanirseroussi.com/2014/10/23/what-is-data-science/Thu, 23 Oct 2014 03:22:08 +0000https://yanirseroussi.com/2014/10/23/what-is-data-science/Data science has been a hot term in the past few years. Still, there isn&rsquo;t a single definition of the field. This post discusses my favourite definition.Greek Media Monitoring Kaggle competition: My approachhttps://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.Applying the Traction Book’s Bullseye framework to BCRecommenderhttps://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Wed, 24 Sep 2014 04:57:39 +0000https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Ranking 19 channels with the goal of getting traction for BCRecommender.Bandcamp recommendation and discovery algorithmshttps://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/Fri, 19 Sep 2014 14:26:55 +0000https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Sun, 07 Sep 2014 10:48:44 +0000https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.Building a Bandcamp recommender system (part 1 – motivation)https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/Sat, 30 Aug 2014 08:11:38 +0000https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/My motivation behind building BCRecommender, a free recommendation &amp; discovery service for Bandcamp music.How to (almost) win Kaggle competitionshttps://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp; insights can only be as good as the underlying data.Kaggle competition tips and summarieshttps://yanirseroussi.com/kaggle/Sat, 05 Apr 2014 23:46:10 +0000https://yanirseroussi.com/kaggle/Pointers to all my Kaggle advice posts and competition summaries.Kaggle beginner tipshttps://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/Sun, 19 Jan 2014 10:34:28 +0000https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.About Yanir: Startup Data & AI Consultanthttps://yanirseroussi.com/about/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/about/About Yanir Seroussi, a hands-on data tech lead with over a decade of experience. Yanir helps climate/nature tech startups ship data-intensive solutions.Book a free fifteen-minute callhttps://yanirseroussi.com/free-intro-call/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/free-intro-call/Booking form for a quick intro call with Yanir Seroussi.Causal inference resourceshttps://yanirseroussi.com/causal-inference-resources/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/causal-inference-resources/Useful books, articles, and courses on the topic of causal inference.Free Guide: Data-to-AI Health Check for Startupshttps://yanirseroussi.com/data-to-ai-health-check/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/data-to-ai-health-check/Download a free PDF guide that helps you assess a startup&rsquo;s Data-to-AI health by probing eight key areas.Helping climate & nature tech startups ship data-intensive solutionshttps://yanirseroussi.com/consult/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/consult/Consulting for climate &amp; nature tech startups: Strategic advice, implementation of Data/AI/ML solutions, and hiring help by an experienced tech leader.Speaking engagements by Yanir: Startup Data & AI Consultanthttps://yanirseroussi.com/talks/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/talks/Yanir Seroussi speaks on data science, artificial intelligence, machine learning, and career journey.Stay in touchhttps://yanirseroussi.com/contact/Mon, 01 Jan 0001 00:00:00 +0000https://yanirseroussi.com/contact/Contact me or subscribe to the mailing list. \ No newline at end of file diff --git a/posts/index.html b/posts/index.html index 5f6b488a9..0c4a0f8d3 100644 --- a/posts/index.html +++ b/posts/index.html @@ -8,7 +8,7 @@ ">

    Browse Posts

    Browse my main posts in reverse chronological order below, or by tag. You may also want to check out my shorter-form TIL (today I learned) posts.
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      Don't build AI, build with AI

      Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.

      November 18, 2024

      In praise of inconsistency: Ditching weekly posts

      On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.

      September 23, 2024

      Data, AI, humans, and climate: Carving a consulting niche

      Podcast chat on the reality of Data & AI and my consulting focus: Helping climate & nature tech startups ship data-intensive solutions.

      September 9, 2024

      Juggling delivery, admin, and leads: Monthly biz recap

      Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin & politics.

      September 2, 2024

      AI hype, AI bullshit, and the real deal

      My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.

      August 26, 2024

      Giving up on the minimum viable data stack

      Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.

      August 19, 2024

      Keep learning: Your career is never truly done

      Podcast chat on my career journey from software engineering to data science and independent consulting.

      August 12, 2024

      First year lessons from a solo expertise biz in Data & AI

      Reflections on building a solo expertise business in Data & AI, focusing on climate tech startups. Lessons learned from the first year of transition.

      August 5, 2024

      AI/ML lifecycle models versus real-world mess

      The real world of AI/ML doesn’t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.

      July 29, 2024

      Your first Data-to-AI hire: Run a lovable process

      Video and key points from the second part of a webinar on a startup’s first data hire, covering tips for defining the role and running the process.

      July 22, 2024

      Learn about Dataland to avoid expensive hiring mistakes

      Video and key points from the first part of a webinar on a startup’s first data hire, covering data & AI definitions and high-level recommendations.

      July 15, 2024

      Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini

      Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.

      July 8, 2024

      Stay alert! Security is everyone's responsibility

      Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.

      July 1, 2024

      Is your tech stack ready for data-intensive applications?

      Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.

      June 24, 2024

      AI ain't gonna save you from bad data

      Since we’re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.

      June 17, 2024

      Startup data health starts with healthy event tracking

      Expanding on the startup health check question of tracking Kukuyeva’s five business aspects as wide events.

      June 10, 2024

      How to avoid startups with poor development processes

      Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.

      June 3, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Question startup culture before accepting a data-to-AI role

      Eight questions that prospective data-to-AI employees should ask about a startup’s work and data culture.

      May 20, 2024

      Probing the People aspects of an early-stage startup

      Ten questions that prospective employees should ask about a startup’s team, especially for data-centric roles.

      May 13, 2024

      Business questions to ask before taking a startup data role

      Fourteen questions that prospective employees should ask about a startup’s business model and product, especially for data-focused roles.

      May 6, 2024

      Mentorship and the art of actionable advice

      Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.

      April 29, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      AI does not obviate the need for testing and observability

      It’s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.

      April 15, 2024

      My experience as a Data Tech Lead with Work on Climate

      The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting & fractional work.

      April 8, 2024

      Artificial intelligence, automation, and the art of counting fish

      Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.

      April 1, 2024

      Questions to consider when using AI for PDF data extraction

      Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.

      March 11, 2024

      Two types of startup data problems

      Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they’re likely to face.

      March 4, 2024

      Avoiding AI complexity: First, write no code

      Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.

      February 26, 2024

      Building your startup's minimum viable data stack

      First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.

      February 19, 2024

      Nudging ChatGPT to invent books you have no time to read

      Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.

      February 12, 2024

      Substance over titles: Your first data hire may be a data scientist

      Advice for hiring a startup’s first data person: match skills to business needs, consider contractors, and get help from data people.

      February 5, 2024

      New decade, new tagline: Data & AI for Impact

      Shifting focus to ‘Data & AI for Impact’, with more startup-related content, increased posting frequency, and deeper audience engagement.

      January 19, 2024

      Supporting volunteer monitoring of marine biodiversity with modern web and data tools

      Summarising the work Uri Seroussi and I did to improve Reef Life Survey’s Reef Species of the World app.

      November 29, 2023

      Lessons from reluctant data engineering

      Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.

      October 25, 2023

      My rediscovery of quiet writing on the open web

      Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.

      August 28, 2023

      Was data science a failure mode of software engineering?

      Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

      June 30, 2023

      How hackable are automated coding assessments?

      Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.

      May 26, 2023

      Remaining relevant as a small language model

      Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).

      April 21, 2023

      ChatGPT is transformative AI

      My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.

      December 11, 2022

      Causal Machine Learning is off to a good start, despite some issues

      Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

      September 12, 2022

      The mission matters: Moving to climate tech as a data scientist

      Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

      June 6, 2022

      Building useful machine learning tools keeps getting easier: A fish ID case study

      Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.

      March 20, 2022

      Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials

      Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.

      January 14, 2022

      Use your human brain to avoid artificial intelligence disasters

      Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.

      November 22, 2021

      Migrating from WordPress.com to Hugo on GitHub + Cloudflare

      My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.

      November 10, 2021

      My work with Automattic

      Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

      October 7, 2021

      Some highlights from 2020

      Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.

      April 5, 2021

      Many is not enough: Counting simulations to bootstrap the right way

      Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.

      August 24, 2020

      Software commodities are eating interesting data science work

      Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?

      January 11, 2020

      A day in the life of a remote data scientist

      Video of a talk I gave on remote data science work at the Data Science Sydney meetup.

      December 11, 2019

      Bootstrapping the right way?

      Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.

      October 6, 2019

      Hackers beware: Bootstrap sampling may be harmful

      Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.

      January 7, 2019

      The most practical causal inference book I’ve read (is still a draft)

      Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.

      December 24, 2018

      Reflections on remote data science work

      Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.

      November 3, 2018

      Defining data science in 2018

      Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.

      July 22, 2018

      Advice for aspiring data scientists and other FAQs

      Frequently asked questions by visitors to this site, especially around entering the data science field.

      October 15, 2017

      State of Bandcamp Recommender, Late 2017

      Call for BCRecommender maintainers followed by a decision to shut it down, as I don’t have enough time and Bandcamp now offers recommendations.

      September 2, 2017

      My 10-step path to becoming a remote data scientist with Automattic

      I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.

      July 29, 2017

      Exploring and visualising Reef Life Survey data

      Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.

      June 3, 2017

      Customer lifetime value and the proliferation of misinformation on the internet

      There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.

      January 8, 2017

      Ask Why! Finding motives, causes, and purpose in data science

      Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.

      September 19, 2016

      If you don’t pay attention, data can drive you off a cliff

      Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.

      August 21, 2016

      Is Data Scientist a useless job title?

      It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.

      August 4, 2016

      Making Bayesian A/B testing more accessible

      A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.

      June 19, 2016

      Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions

      Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.

      May 14, 2016

      The rise of greedy robots

      Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.

      March 20, 2016

      Why you should stop worrying about deep learning and deepen your understanding of causality instead

      Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.

      February 14, 2016

      The joys of offline data collection

      Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

      January 24, 2016

      This holiday season, give me real insights

      Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.

      December 8, 2015

      The hardest parts of data science

      Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.

      November 23, 2015

      Migrating a simple web application from MongoDB to Elasticsearch

      Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.

      November 4, 2015

      Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling

      Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.

      October 19, 2015

      The wonderful world of recommender systems

      Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.

      October 2, 2015

      You don’t need a data scientist (yet)

      Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.

      August 24, 2015

      Goodbye, Parse.com

      Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.

      July 31, 2015

      Learning about deep learning through album cover classification

      Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.

      July 6, 2015

      Hopping on the deep learning bandwagon

      To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.

      June 6, 2015

      First steps in data science: author-aware sentiment analysis

      I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.

      May 2, 2015

      My divestment from fossil fuels

      Recent choices I’ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.

      April 24, 2015

      My PhD work

      An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

      March 30, 2015

      The long road to a lifestyle business

      Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.

      March 22, 2015

      Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)

      My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).

      February 11, 2015

      Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)

      Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).

      January 29, 2015

      Automating Parse.com bulk data imports

      A script for importing data into the Parse backend-as-a-service.

      January 15, 2015

      Stochastic Gradient Boosting: Choosing the Best Number of Iterations

      Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.

      December 29, 2014

      SEO: Mostly about showing up?

      Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.

      December 15, 2014

      Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)

      Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.

      November 19, 2014

      BCRecommender Traction Update

      Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.

      November 5, 2014

      What is data science?

      Data science has been a hot term in the past few years. Still, there isn’t a single definition of the field. This post discusses my favourite definition.

      October 23, 2014

      Greek Media Monitoring Kaggle competition: My approach

      Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.

      October 7, 2014

      Applying the Traction Book’s Bullseye framework to BCRecommender

      Ranking 19 channels with the goal of getting traction for BCRecommender.

      September 24, 2014

      Bandcamp recommendation and discovery algorithms

      The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.

      September 19, 2014

      Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)

      Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.

      September 7, 2014

      Building a Bandcamp recommender system (part 1 – motivation)

      My motivation behind building BCRecommender, a free recommendation & discovery service for Bandcamp music.

      August 30, 2014

      How to (almost) win Kaggle competitions

      Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.

      August 24, 2014

      Data’s hierarchy of needs

      Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.

      August 17, 2014

      Kaggle competition tips and summaries

      Pointers to all my Kaggle advice posts and competition summaries.

      April 5, 2014

      Kaggle beginner tips

      First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.

      January 19, 2014
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | +
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      Data moats, stealthy AI, and more: AI Con 2024 notes

      Themes from AI Con 2024: data moats, stealthy AI use, Chatty’s UX revolution, and enduring fundamentals

      November 25, 2024

      Don't build AI, build with AI

      Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.

      November 18, 2024

      In praise of inconsistency: Ditching weekly posts

      On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.

      September 23, 2024

      Data, AI, humans, and climate: Carving a consulting niche

      Podcast chat on the reality of Data & AI and my consulting focus: Helping climate & nature tech startups ship data-intensive solutions.

      September 9, 2024

      Juggling delivery, admin, and leads: Monthly biz recap

      Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin & politics.

      September 2, 2024

      AI hype, AI bullshit, and the real deal

      My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.

      August 26, 2024

      Giving up on the minimum viable data stack

      Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.

      August 19, 2024

      Keep learning: Your career is never truly done

      Podcast chat on my career journey from software engineering to data science and independent consulting.

      August 12, 2024

      First year lessons from a solo expertise biz in Data & AI

      Reflections on building a solo expertise business in Data & AI, focusing on climate tech startups. Lessons learned from the first year of transition.

      August 5, 2024

      AI/ML lifecycle models versus real-world mess

      The real world of AI/ML doesn’t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.

      July 29, 2024

      Your first Data-to-AI hire: Run a lovable process

      Video and key points from the second part of a webinar on a startup’s first data hire, covering tips for defining the role and running the process.

      July 22, 2024

      Learn about Dataland to avoid expensive hiring mistakes

      Video and key points from the first part of a webinar on a startup’s first data hire, covering data & AI definitions and high-level recommendations.

      July 15, 2024

      Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini

      Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.

      July 8, 2024

      Stay alert! Security is everyone's responsibility

      Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.

      July 1, 2024

      Is your tech stack ready for data-intensive applications?

      Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.

      June 24, 2024

      AI ain't gonna save you from bad data

      Since we’re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.

      June 17, 2024

      Startup data health starts with healthy event tracking

      Expanding on the startup health check question of tracking Kukuyeva’s five business aspects as wide events.

      June 10, 2024

      How to avoid startups with poor development processes

      Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.

      June 3, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Question startup culture before accepting a data-to-AI role

      Eight questions that prospective data-to-AI employees should ask about a startup’s work and data culture.

      May 20, 2024

      Probing the People aspects of an early-stage startup

      Ten questions that prospective employees should ask about a startup’s team, especially for data-centric roles.

      May 13, 2024

      Business questions to ask before taking a startup data role

      Fourteen questions that prospective employees should ask about a startup’s business model and product, especially for data-focused roles.

      May 6, 2024

      Mentorship and the art of actionable advice

      Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.

      April 29, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      AI does not obviate the need for testing and observability

      It’s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.

      April 15, 2024

      My experience as a Data Tech Lead with Work on Climate

      The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting & fractional work.

      April 8, 2024

      Artificial intelligence, automation, and the art of counting fish

      Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.

      April 1, 2024

      Questions to consider when using AI for PDF data extraction

      Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.

      March 11, 2024

      Two types of startup data problems

      Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they’re likely to face.

      March 4, 2024

      Avoiding AI complexity: First, write no code

      Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.

      February 26, 2024

      Building your startup's minimum viable data stack

      First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.

      February 19, 2024

      Nudging ChatGPT to invent books you have no time to read

      Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.

      February 12, 2024

      Substance over titles: Your first data hire may be a data scientist

      Advice for hiring a startup’s first data person: match skills to business needs, consider contractors, and get help from data people.

      February 5, 2024

      New decade, new tagline: Data & AI for Impact

      Shifting focus to ‘Data & AI for Impact’, with more startup-related content, increased posting frequency, and deeper audience engagement.

      January 19, 2024

      Supporting volunteer monitoring of marine biodiversity with modern web and data tools

      Summarising the work Uri Seroussi and I did to improve Reef Life Survey’s Reef Species of the World app.

      November 29, 2023

      Lessons from reluctant data engineering

      Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.

      October 25, 2023

      My rediscovery of quiet writing on the open web

      Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.

      August 28, 2023

      Was data science a failure mode of software engineering?

      Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

      June 30, 2023

      How hackable are automated coding assessments?

      Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.

      May 26, 2023

      Remaining relevant as a small language model

      Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).

      April 21, 2023

      ChatGPT is transformative AI

      My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.

      December 11, 2022

      Causal Machine Learning is off to a good start, despite some issues

      Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

      September 12, 2022

      The mission matters: Moving to climate tech as a data scientist

      Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

      June 6, 2022

      Building useful machine learning tools keeps getting easier: A fish ID case study

      Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.

      March 20, 2022

      Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials

      Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.

      January 14, 2022

      Use your human brain to avoid artificial intelligence disasters

      Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.

      November 22, 2021

      Migrating from WordPress.com to Hugo on GitHub + Cloudflare

      My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.

      November 10, 2021

      My work with Automattic

      Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

      October 7, 2021

      Some highlights from 2020

      Sharing remote teamwork insights, my climate & sustainability activism, Reef Life Survey publications, and progress on Automattic’s Experimentation Platform.

      April 5, 2021

      Many is not enough: Counting simulations to bootstrap the right way

      Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.

      August 24, 2020

      Software commodities are eating interesting data science work

      Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?

      January 11, 2020

      A day in the life of a remote data scientist

      Video of a talk I gave on remote data science work at the Data Science Sydney meetup.

      December 11, 2019

      Bootstrapping the right way?

      Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.

      October 6, 2019

      Hackers beware: Bootstrap sampling may be harmful

      Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.

      January 7, 2019

      The most practical causal inference book I’ve read (is still a draft)

      Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.

      December 24, 2018

      Reflections on remote data science work

      Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.

      November 3, 2018

      Defining data science in 2018

      Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.

      July 22, 2018

      Advice for aspiring data scientists and other FAQs

      Frequently asked questions by visitors to this site, especially around entering the data science field.

      October 15, 2017

      State of Bandcamp Recommender, Late 2017

      Call for BCRecommender maintainers followed by a decision to shut it down, as I don’t have enough time and Bandcamp now offers recommendations.

      September 2, 2017

      My 10-step path to becoming a remote data scientist with Automattic

      I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.

      July 29, 2017

      Exploring and visualising Reef Life Survey data

      Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.

      June 3, 2017

      Customer lifetime value and the proliferation of misinformation on the internet

      There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.

      January 8, 2017

      Ask Why! Finding motives, causes, and purpose in data science

      Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.

      September 19, 2016

      If you don’t pay attention, data can drive you off a cliff

      Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.

      August 21, 2016

      Is Data Scientist a useless job title?

      It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.

      August 4, 2016

      Making Bayesian A/B testing more accessible

      A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.

      June 19, 2016

      Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions

      Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.

      May 14, 2016

      The rise of greedy robots

      Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.

      March 20, 2016

      Why you should stop worrying about deep learning and deepen your understanding of causality instead

      Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.

      February 14, 2016

      The joys of offline data collection

      Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

      January 24, 2016

      This holiday season, give me real insights

      Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.

      December 8, 2015

      The hardest parts of data science

      Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.

      November 23, 2015

      Migrating a simple web application from MongoDB to Elasticsearch

      Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.

      November 4, 2015

      Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling

      Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.

      October 19, 2015

      The wonderful world of recommender systems

      Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.

      October 2, 2015

      You don’t need a data scientist (yet)

      Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.

      August 24, 2015

      Goodbye, Parse.com

      Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.

      July 31, 2015

      Learning about deep learning through album cover classification

      Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.

      July 6, 2015

      Hopping on the deep learning bandwagon

      To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.

      June 6, 2015

      First steps in data science: author-aware sentiment analysis

      I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.

      May 2, 2015

      My divestment from fossil fuels

      Recent choices I’ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.

      April 24, 2015

      My PhD work

      An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

      March 30, 2015

      The long road to a lifestyle business

      Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.

      March 22, 2015

      Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)

      My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).

      February 11, 2015

      Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)

      Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).

      January 29, 2015

      Automating Parse.com bulk data imports

      A script for importing data into the Parse backend-as-a-service.

      January 15, 2015

      Stochastic Gradient Boosting: Choosing the Best Number of Iterations

      Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.

      December 29, 2014

      SEO: Mostly about showing up?

      Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.

      December 15, 2014

      Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)

      Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.

      November 19, 2014

      BCRecommender Traction Update

      Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.

      November 5, 2014

      What is data science?

      Data science has been a hot term in the past few years. Still, there isn’t a single definition of the field. This post discusses my favourite definition.

      October 23, 2014

      Greek Media Monitoring Kaggle competition: My approach

      Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.

      October 7, 2014

      Applying the Traction Book’s Bullseye framework to BCRecommender

      Ranking 19 channels with the goal of getting traction for BCRecommender.

      September 24, 2014

      Bandcamp recommendation and discovery algorithms

      The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.

      September 19, 2014

      Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)

      Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.

      September 7, 2014

      Building a Bandcamp recommender system (part 1 – motivation)

      My motivation behind building BCRecommender, a free recommendation & discovery service for Bandcamp music.

      August 30, 2014

      How to (almost) win Kaggle competitions

      Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.

      August 24, 2014

      Data’s hierarchy of needs

      Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.

      August 17, 2014

      Kaggle competition tips and summaries

      Pointers to all my Kaggle advice posts and competition summaries.

      April 5, 2014

      Kaggle beginner tips

      First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.

      January 19, 2014
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & PaperMod
      \ No newline at end of file diff --git a/posts/index.xml b/posts/index.xml index 1828384f8..2045709fd 100644 --- a/posts/index.xml +++ b/posts/index.xml @@ -1 +1 @@ -Browse Posts on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/posts/Recent content in Browse Posts on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseDon't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.In praise of inconsistency: Ditching weekly postshttps://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.Data, AI, humans, and climate: Carving a consulting nichehttps://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Podcast chat on the reality of Data &amp; AI and my consulting focus: Helping climate &amp; nature tech startups ship data-intensive solutions.Juggling delivery, admin, and leads: Monthly biz recaphttps://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Mon, 02 Sep 2024 02:30:00 +0000https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp; politics.AI hype, AI bullshit, and the real dealhttps://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/Mon, 26 Aug 2024 01:00:00 +0000https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.Giving up on the minimum viable data stackhttps://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Mon, 19 Aug 2024 03:30:00 +0000https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.Keep learning: Your career is never truly donehttps://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Mon, 12 Aug 2024 01:30:00 +0000https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Podcast chat on my career journey from software engineering to data science and independent consulting.First year lessons from a solo expertise biz in Data & AIhttps://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Mon, 05 Aug 2024 08:45:00 +0000https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Reflections on building a solo expertise business in Data &amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.AI/ML lifecycle models versus real-world messhttps://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/Mon, 29 Jul 2024 06:00:00 +0000https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/The real world of AI/ML doesn&rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Exploring an AI product idea with the latest ChatGPT, Claude, and Geminihttps://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Mon, 08 Jul 2024 02:45:00 +0000https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.Stay alert! Security is everyone's responsibilityhttps://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Mon, 01 Jul 2024 02:00:00 +0000https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.How to avoid startups with poor development processeshttps://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Mon, 03 Jun 2024 02:45:00 +0000https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Question startup culture before accepting a data-to-AI rolehttps://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Mon, 20 May 2024 02:25:00 +0000https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Eight questions that prospective data-to-AI employees should ask about a startup&rsquo;s work and data culture.Probing the People aspects of an early-stage startuphttps://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Mon, 13 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Ten questions that prospective employees should ask about a startup&rsquo;s team, especially for data-centric roles.Business questions to ask before taking a startup data rolehttps://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Mon, 06 May 2024 04:30:00 +0000https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Fourteen questions that prospective employees should ask about a startup&rsquo;s business model and product, especially for data-focused roles.Mentorship and the art of actionable advicehttps://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Mon, 29 Apr 2024 06:30:00 +0000https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.AI does not obviate the need for testing and observabilityhttps://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/Mon, 15 Apr 2024 05:00:00 +0000https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/It&rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.My experience as a Data Tech Lead with Work on Climatehttps://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp; fractional work.Artificial intelligence, automation, and the art of counting fishhttps://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Mon, 01 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.Questions to consider when using AI for PDF data extractionhttps://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Mon, 11 Mar 2024 00:00:00 +0000https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.Two types of startup data problemshttps://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Mon, 04 Mar 2024 02:00:00 +0000https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&rsquo;re likely to face.Avoiding AI complexity: First, write no codehttps://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Mon, 26 Feb 2024 01:45:00 +0000https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.Building your startup's minimum viable data stackhttps://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/Mon, 19 Feb 2024 00:00:00 +0000https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.Nudging ChatGPT to invent books you have no time to readhttps://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Mon, 12 Feb 2024 05:00:00 +0000https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.Substance over titles: Your first data hire may be a data scientisthttps://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Mon, 05 Feb 2024 02:45:00 +0000https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Advice for hiring a startup&rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.New decade, new tagline: Data & AI for Impacthttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Fri, 19 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Shifting focus to &lsquo;Data &amp; AI for Impact&rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.Supporting volunteer monitoring of marine biodiversity with modern web and data toolshttps://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Summarising the work Uri Seroussi and I did to improve Reef Life Survey&rsquo;s Reef Species of the World app.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal&rsquo;s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&rsquo;s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.Migrating from WordPress.com to Hugo on GitHub + Cloudflarehttps://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&rsquo;ve done with the company.Some highlights from 2020https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Mon, 05 Apr 2021 06:41:48 +0000https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Sharing remote teamwork insights, my climate &amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&rsquo;s Experimentation Platform.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&rsquo;t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.State of Bandcamp Recommender, Late 2017https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Call for BCRecommender maintainers followed by a decision to shut it down, as I don&rsquo;t have enough time and Bandcamp now offers recommendations.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There&rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&rsquo;s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp; how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&rsquo;s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it&rsquo;s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as &ldquo;insights&rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Migrating a simple web application from MongoDB to Elasticsearchhttps://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Goodbye, Parse.comhttps://yanirseroussi.com/2015/07/31/goodbye-parse-com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/2015/07/31/goodbye-parse-com/Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Hopping on the deep learning bandwagonhttps://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/Sat, 06 Jun 2015 05:00:22 +0000https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.First steps in data science: author-aware sentiment analysishttps://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.My divestment from fossil fuelshttps://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Recent choices I&rsquo;ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/My team&rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Thu, 29 Jan 2015 10:37:39 +0000https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).Automating Parse.com bulk data importshttps://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/Thu, 15 Jan 2015 04:41:16 +0000https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/A script for importing data into the Parse backend-as-a-service.Stochastic Gradient Boosting: Choosing the Best Number of Iterationshttps://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.SEO: Mostly about showing up?https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/Mon, 15 Dec 2014 04:25:25 +0000https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.BCRecommender Traction Updatehttps://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.What is data science?https://yanirseroussi.com/2014/10/23/what-is-data-science/Thu, 23 Oct 2014 03:22:08 +0000https://yanirseroussi.com/2014/10/23/what-is-data-science/Data science has been a hot term in the past few years. Still, there isn&rsquo;t a single definition of the field. This post discusses my favourite definition.Greek Media Monitoring Kaggle competition: My approachhttps://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.Applying the Traction Book’s Bullseye framework to BCRecommenderhttps://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Wed, 24 Sep 2014 04:57:39 +0000https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Ranking 19 channels with the goal of getting traction for BCRecommender.Bandcamp recommendation and discovery algorithmshttps://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/Fri, 19 Sep 2014 14:26:55 +0000https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Sun, 07 Sep 2014 10:48:44 +0000https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.Building a Bandcamp recommender system (part 1 – motivation)https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/Sat, 30 Aug 2014 08:11:38 +0000https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/My motivation behind building BCRecommender, a free recommendation &amp; discovery service for Bandcamp music.How to (almost) win Kaggle competitionshttps://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp; insights can only be as good as the underlying data.Kaggle competition tips and summarieshttps://yanirseroussi.com/kaggle/Sat, 05 Apr 2014 23:46:10 +0000https://yanirseroussi.com/kaggle/Pointers to all my Kaggle advice posts and competition summaries.Kaggle beginner tipshttps://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/Sun, 19 Jan 2014 10:34:28 +0000https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions. \ No newline at end of file +Browse Posts on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/posts/Recent content in Browse Posts on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseData moats, stealthy AI, and more: AI Con 2024 noteshttps://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Themes from AI Con 2024: data moats, stealthy AI use, Chatty&rsquo;s UX revolution, and enduring fundamentalsDon't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.In praise of inconsistency: Ditching weekly postshttps://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.Data, AI, humans, and climate: Carving a consulting nichehttps://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Podcast chat on the reality of Data &amp; AI and my consulting focus: Helping climate &amp; nature tech startups ship data-intensive solutions.Juggling delivery, admin, and leads: Monthly biz recaphttps://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Mon, 02 Sep 2024 02:30:00 +0000https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp; politics.AI hype, AI bullshit, and the real dealhttps://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/Mon, 26 Aug 2024 01:00:00 +0000https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.Giving up on the minimum viable data stackhttps://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Mon, 19 Aug 2024 03:30:00 +0000https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.Keep learning: Your career is never truly donehttps://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Mon, 12 Aug 2024 01:30:00 +0000https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Podcast chat on my career journey from software engineering to data science and independent consulting.First year lessons from a solo expertise biz in Data & AIhttps://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Mon, 05 Aug 2024 08:45:00 +0000https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Reflections on building a solo expertise business in Data &amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.AI/ML lifecycle models versus real-world messhttps://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/Mon, 29 Jul 2024 06:00:00 +0000https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/The real world of AI/ML doesn&rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Exploring an AI product idea with the latest ChatGPT, Claude, and Geminihttps://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Mon, 08 Jul 2024 02:45:00 +0000https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.Stay alert! Security is everyone's responsibilityhttps://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Mon, 01 Jul 2024 02:00:00 +0000https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.How to avoid startups with poor development processeshttps://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Mon, 03 Jun 2024 02:45:00 +0000https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Question startup culture before accepting a data-to-AI rolehttps://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Mon, 20 May 2024 02:25:00 +0000https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Eight questions that prospective data-to-AI employees should ask about a startup&rsquo;s work and data culture.Probing the People aspects of an early-stage startuphttps://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Mon, 13 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Ten questions that prospective employees should ask about a startup&rsquo;s team, especially for data-centric roles.Business questions to ask before taking a startup data rolehttps://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Mon, 06 May 2024 04:30:00 +0000https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Fourteen questions that prospective employees should ask about a startup&rsquo;s business model and product, especially for data-focused roles.Mentorship and the art of actionable advicehttps://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Mon, 29 Apr 2024 06:30:00 +0000https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.AI does not obviate the need for testing and observabilityhttps://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/Mon, 15 Apr 2024 05:00:00 +0000https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/It&rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.My experience as a Data Tech Lead with Work on Climatehttps://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp; fractional work.Artificial intelligence, automation, and the art of counting fishhttps://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Mon, 01 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.Questions to consider when using AI for PDF data extractionhttps://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Mon, 11 Mar 2024 00:00:00 +0000https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.Two types of startup data problemshttps://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Mon, 04 Mar 2024 02:00:00 +0000https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&rsquo;re likely to face.Avoiding AI complexity: First, write no codehttps://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Mon, 26 Feb 2024 01:45:00 +0000https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.Building your startup's minimum viable data stackhttps://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/Mon, 19 Feb 2024 00:00:00 +0000https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.Nudging ChatGPT to invent books you have no time to readhttps://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Mon, 12 Feb 2024 05:00:00 +0000https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.Substance over titles: Your first data hire may be a data scientisthttps://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Mon, 05 Feb 2024 02:45:00 +0000https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Advice for hiring a startup&rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.New decade, new tagline: Data & AI for Impacthttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Fri, 19 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Shifting focus to &lsquo;Data &amp; AI for Impact&rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.Supporting volunteer monitoring of marine biodiversity with modern web and data toolshttps://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/2023/11/29/supporting-volunteer-monitoring-of-marine-biodiversity-with-modern-web-and-data-tools/Summarising the work Uri Seroussi and I did to improve Reef Life Survey&rsquo;s Reef Species of the World app.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.My rediscovery of quiet writing on the open webhttps://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Mon, 28 Aug 2023 05:30:00 +0000https://yanirseroussi.com/2023/08/28/my-rediscovery-of-quiet-writing-on-the-open-web/Reflections on publishing on this website: Writing publicly to share thoughts and documentation beats chasing views and likes.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal&rsquo;s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&rsquo;s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.Migrating from WordPress.com to Hugo on GitHub + Cloudflarehttps://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&rsquo;ve done with the company.Some highlights from 2020https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Mon, 05 Apr 2021 06:41:48 +0000https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/Sharing remote teamwork insights, my climate &amp; sustainability activism, Reef Life Survey publications, and progress on Automattic&rsquo;s Experimentation Platform.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&rsquo;t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.State of Bandcamp Recommender, Late 2017https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/Call for BCRecommender maintainers followed by a decision to shut it down, as I don&rsquo;t have enough time and Bandcamp now offers recommendations.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There&rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&rsquo;s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp; how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&rsquo;s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it&rsquo;s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as &ldquo;insights&rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Migrating a simple web application from MongoDB to Elasticsearchhttps://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/2015/11/04/migrating-a-simple-web-application-from-mongodb-to-elasticsearch/Migrating BCRecommender from MongoDB to Elasticsearch made it possible to offer a richer search experience to users at a similar cost, among other benefits.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Goodbye, Parse.comhttps://yanirseroussi.com/2015/07/31/goodbye-parse-com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/2015/07/31/goodbye-parse-com/Migrating my web apps away from Parse.com due to reliability issues. Self-hosting is a better solution.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Hopping on the deep learning bandwagonhttps://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/Sat, 06 Jun 2015 05:00:22 +0000https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.First steps in data science: author-aware sentiment analysishttps://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.My divestment from fossil fuelshttps://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/2015/04/24/my-divestment-from-fossil-fuels/Recent choices I&rsquo;ve made to reduce my exposure to fossil fuels, including practical steps that can be taken by Australians and generally applicable lessons.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/My team&rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Thu, 29 Jan 2015 10:37:39 +0000https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).Automating Parse.com bulk data importshttps://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/Thu, 15 Jan 2015 04:41:16 +0000https://yanirseroussi.com/2015/01/15/automating-parse-com-bulk-data-imports/A script for importing data into the Parse backend-as-a-service.Stochastic Gradient Boosting: Choosing the Best Number of Iterationshttps://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.SEO: Mostly about showing up?https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/Mon, 15 Dec 2014 04:25:25 +0000https://yanirseroussi.com/2014/12/15/seo-mostly-about-showing-up/Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.BCRecommender Traction Updatehttps://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.What is data science?https://yanirseroussi.com/2014/10/23/what-is-data-science/Thu, 23 Oct 2014 03:22:08 +0000https://yanirseroussi.com/2014/10/23/what-is-data-science/Data science has been a hot term in the past few years. Still, there isn&rsquo;t a single definition of the field. This post discusses my favourite definition.Greek Media Monitoring Kaggle competition: My approachhttps://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.Applying the Traction Book’s Bullseye framework to BCRecommenderhttps://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Wed, 24 Sep 2014 04:57:39 +0000https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Ranking 19 channels with the goal of getting traction for BCRecommender.Bandcamp recommendation and discovery algorithmshttps://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/Fri, 19 Sep 2014 14:26:55 +0000https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Sun, 07 Sep 2014 10:48:44 +0000https://yanirseroussi.com/2014/09/07/building-a-recommender-system-on-a-shoestring-budget/Iterating on my BCRecommender service with the goal of keeping costs low while providing a valuable music recommendation service.Building a Bandcamp recommender system (part 1 – motivation)https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/Sat, 30 Aug 2014 08:11:38 +0000https://yanirseroussi.com/2014/08/30/building-a-bandcamp-recommender-system-part-1-motivation/My motivation behind building BCRecommender, a free recommendation &amp; discovery service for Bandcamp music.How to (almost) win Kaggle competitionshttps://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp; insights can only be as good as the underlying data.Kaggle competition tips and summarieshttps://yanirseroussi.com/kaggle/Sat, 05 Apr 2014 23:46:10 +0000https://yanirseroussi.com/kaggle/Pointers to all my Kaggle advice posts and competition summaries.Kaggle beginner tipshttps://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/Sun, 19 Jan 2014 10:34:28 +0000https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions. \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml index 422a0c715..fae2d2b08 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -1 +1 @@ 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irseroussi.com/about/2024-07-22T15:08:53+10:00https://yanirseroussi.com/free-intro-call/2024-09-15T10:10:54+10:00https://yanirseroussi.com/posts/2024-05-09T10:03:31+10:00https://yanirseroussi.com/causal-inference-resources/2024-09-09T11:04:24+10:00https://yanirseroussi.com/data-to-ai-health-check/2024-06-26T12:57:51+10:00https://yanirseroussi.com/consult/2024-06-27T12:40:16+10:00https://yanirseroussi.com/talks/2024-09-09T11:04:57+10:00https://yanirseroussi.com/contact/2024-05-23T15:31:11+10:00https://yanirseroussi.com/til/2024-05-09T10:03:31+10:00 \ No newline at end of file diff --git a/tags/artificial-intelligence/index.html b/tags/artificial-intelligence/index.html index b194e56c1..6becac4a0 100644 --- a/tags/artificial-intelligence/index.html +++ b/tags/artificial-intelligence/index.html @@ -1,7 +1,7 @@ Artificial Intelligence | Yanir Seroussi | Data & AI for Startup Impact

      Artificial Intelligence

      Don't build AI, build with AI

      Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.

      November 18, 2024

      Data, AI, humans, and climate: Carving a consulting niche

      Podcast chat on the reality of Data & AI and my consulting focus: Helping climate & nature tech startups ship data-intensive solutions.

      September 9, 2024

      AI hype, AI bullshit, and the real deal

      My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.

      August 26, 2024

      AI/ML lifecycle models versus real-world mess

      The real world of AI/ML doesn’t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.

      July 29, 2024

      Your first Data-to-AI hire: Run a lovable process

      Video and key points from the second part of a webinar on a startup’s first data hire, covering tips for defining the role and running the process.

      July 22, 2024

      Learn about Dataland to avoid expensive hiring mistakes

      Video and key points from the first part of a webinar on a startup’s first data hire, covering data & AI definitions and high-level recommendations.

      July 15, 2024

      Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini

      Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.

      July 8, 2024

      Is your tech stack ready for data-intensive applications?

      Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.

      June 24, 2024

      Dealing with endless data changes

      Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.

      June 22, 2024

      AI ain't gonna save you from bad data

      Since we’re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.

      June 17, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Adapting to the economy of algorithms

      Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.

      May 25, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      AI does not obviate the need for testing and observability

      It’s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.

      April 15, 2024

      Artificial intelligence, automation, and the art of counting fish

      Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.

      April 1, 2024

      Questions to consider when using AI for PDF data extraction

      Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.

      March 11, 2024

      Two types of startup data problems

      Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they’re likely to face.

      March 4, 2024

      Avoiding AI complexity: First, write no code

      Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.

      February 26, 2024

      Nudging ChatGPT to invent books you have no time to read

      Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.

      February 12, 2024

      Future software development may require fewer humans

      Reflecting on an interview with Jason Warner, CEO of poolside.

      February 6, 2024

      New decade, new tagline: Data & AI for Impact

      Shifting focus to ‘Data & AI for Impact’, with more startup-related content, increased posting frequency, and deeper audience engagement.

      January 19, 2024

      Artificial intelligence was a marketing term all along – just call it automation

      Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.

      October 6, 2023

      Google's Rules of Machine Learning still apply in the age of large language models

      Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.

      September 21, 2023

      Was data science a failure mode of software engineering?

      Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

      June 30, 2023

      How hackable are automated coding assessments?

      Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.

      May 26, 2023

      Remaining relevant as a small language model

      Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).

      April 21, 2023

      ChatGPT is transformative AI

      My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.

      December 11, 2022

      Causal Machine Learning is off to a good start, despite some issues

      Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

      September 12, 2022

      Building useful machine learning tools keeps getting easier: A fish ID case study

      Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.

      March 20, 2022

      Use your human brain to avoid artificial intelligence disasters

      Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.

      November 22, 2021

      Defining data science in 2018

      Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.

      July 22, 2018

      My PhD work

      An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

      March 30, 2015
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | +">

      Artificial Intelligence

      Data moats, stealthy AI, and more: AI Con 2024 notes

      Themes from AI Con 2024: data moats, stealthy AI use, Chatty’s UX revolution, and enduring fundamentals

      November 25, 2024

      Don't build AI, build with AI

      Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.

      November 18, 2024

      Data, AI, humans, and climate: Carving a consulting niche

      Podcast chat on the reality of Data & AI and my consulting focus: Helping climate & nature tech startups ship data-intensive solutions.

      September 9, 2024

      AI hype, AI bullshit, and the real deal

      My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.

      August 26, 2024

      AI/ML lifecycle models versus real-world mess

      The real world of AI/ML doesn’t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.

      July 29, 2024

      Your first Data-to-AI hire: Run a lovable process

      Video and key points from the second part of a webinar on a startup’s first data hire, covering tips for defining the role and running the process.

      July 22, 2024

      Learn about Dataland to avoid expensive hiring mistakes

      Video and key points from the first part of a webinar on a startup’s first data hire, covering data & AI definitions and high-level recommendations.

      July 15, 2024

      Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini

      Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.

      July 8, 2024

      Is your tech stack ready for data-intensive applications?

      Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.

      June 24, 2024

      Dealing with endless data changes

      Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.

      June 22, 2024

      AI ain't gonna save you from bad data

      Since we’re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.

      June 17, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Adapting to the economy of algorithms

      Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.

      May 25, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      AI does not obviate the need for testing and observability

      It’s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.

      April 15, 2024

      Artificial intelligence, automation, and the art of counting fish

      Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.

      April 1, 2024

      Questions to consider when using AI for PDF data extraction

      Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.

      March 11, 2024

      Two types of startup data problems

      Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they’re likely to face.

      March 4, 2024

      Avoiding AI complexity: First, write no code

      Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.

      February 26, 2024

      Nudging ChatGPT to invent books you have no time to read

      Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.

      February 12, 2024

      Future software development may require fewer humans

      Reflecting on an interview with Jason Warner, CEO of poolside.

      February 6, 2024

      New decade, new tagline: Data & AI for Impact

      Shifting focus to ‘Data & AI for Impact’, with more startup-related content, increased posting frequency, and deeper audience engagement.

      January 19, 2024

      Artificial intelligence was a marketing term all along – just call it automation

      Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.

      October 6, 2023

      Google's Rules of Machine Learning still apply in the age of large language models

      Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.

      September 21, 2023

      Was data science a failure mode of software engineering?

      Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

      June 30, 2023

      How hackable are automated coding assessments?

      Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.

      May 26, 2023

      Remaining relevant as a small language model

      Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).

      April 21, 2023

      ChatGPT is transformative AI

      My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.

      December 11, 2022

      Causal Machine Learning is off to a good start, despite some issues

      Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

      September 12, 2022

      Building useful machine learning tools keeps getting easier: A fish ID case study

      Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.

      March 20, 2022

      Use your human brain to avoid artificial intelligence disasters

      Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.

      November 22, 2021

      Defining data science in 2018

      Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.

      July 22, 2018

      My PhD work

      An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

      March 30, 2015
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & PaperMod
      \ No newline at end of file diff --git a/tags/artificial-intelligence/index.xml b/tags/artificial-intelligence/index.xml index 3a936d622..376c6923a 100644 --- a/tags/artificial-intelligence/index.xml +++ b/tags/artificial-intelligence/index.xml @@ -1 +1 @@ -Artificial Intelligence on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/artificial-intelligence/Recent content in Artificial Intelligence on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 18 Nov 2024 11:12:27 +1000Don't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.Data, AI, humans, and climate: Carving a consulting nichehttps://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Podcast chat on the reality of Data &amp; AI and my consulting focus: Helping climate &amp; nature tech startups ship data-intensive solutions.AI hype, AI bullshit, and the real dealhttps://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/Mon, 26 Aug 2024 01:00:00 +0000https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.AI/ML lifecycle models versus real-world messhttps://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/Mon, 29 Jul 2024 06:00:00 +0000https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/The real world of AI/ML doesn&rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Exploring an AI product idea with the latest ChatGPT, Claude, and Geminihttps://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Mon, 08 Jul 2024 02:45:00 +0000https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.Dealing with endless data changeshttps://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Sat, 22 Jun 2024 22:50:00 +0000https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Adapting to the economy of algorithmshttps://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Sat, 25 May 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.AI does not obviate the need for testing and observabilityhttps://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/Mon, 15 Apr 2024 05:00:00 +0000https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/It&rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.Artificial intelligence, automation, and the art of counting fishhttps://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Mon, 01 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.Questions to consider when using AI for PDF data extractionhttps://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Mon, 11 Mar 2024 00:00:00 +0000https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.Two types of startup data problemshttps://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Mon, 04 Mar 2024 02:00:00 +0000https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&rsquo;re likely to face.Avoiding AI complexity: First, write no codehttps://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Mon, 26 Feb 2024 01:45:00 +0000https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.Nudging ChatGPT to invent books you have no time to readhttps://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Mon, 12 Feb 2024 05:00:00 +0000https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.Future software development may require fewer humanshttps://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/Tue, 06 Feb 2024 06:15:00 +0000https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/Reflecting on an interview with Jason Warner, CEO of poolside.New decade, new tagline: Data & AI for Impacthttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Fri, 19 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Shifting focus to &lsquo;Data &amp; AI for Impact&rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.Artificial intelligence was a marketing term all along – just call it automationhttps://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Replacing &lsquo;artificial intelligence&rsquo; with &lsquo;automation&rsquo; is a useful trick for cutting through the hype.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal&rsquo;s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&rsquo;s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models. \ No newline at end of file +Artificial Intelligence on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/artificial-intelligence/Recent content in Artificial Intelligence on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 25 Nov 2024 13:32:00 +1000Data moats, stealthy AI, and more: AI Con 2024 noteshttps://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Themes from AI Con 2024: data moats, stealthy AI use, Chatty&rsquo;s UX revolution, and enduring fundamentalsDon't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.Data, AI, humans, and climate: Carving a consulting nichehttps://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Podcast chat on the reality of Data &amp; AI and my consulting focus: Helping climate &amp; nature tech startups ship data-intensive solutions.AI hype, AI bullshit, and the real dealhttps://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/Mon, 26 Aug 2024 01:00:00 +0000https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.AI/ML lifecycle models versus real-world messhttps://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/Mon, 29 Jul 2024 06:00:00 +0000https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/The real world of AI/ML doesn&rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Exploring an AI product idea with the latest ChatGPT, Claude, and Geminihttps://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Mon, 08 Jul 2024 02:45:00 +0000https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.Dealing with endless data changeshttps://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Sat, 22 Jun 2024 22:50:00 +0000https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Adapting to the economy of algorithmshttps://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Sat, 25 May 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.AI does not obviate the need for testing and observabilityhttps://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/Mon, 15 Apr 2024 05:00:00 +0000https://yanirseroussi.com/2024/04/15/ai-does-not-obviate-the-need-for-testing-and-observability/It&rsquo;s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software.Artificial intelligence, automation, and the art of counting fishhttps://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Mon, 01 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/01/artificial-intelligence-automation-and-the-art-of-counting-fish/Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement.Questions to consider when using AI for PDF data extractionhttps://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Mon, 11 Mar 2024 00:00:00 +0000https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.Two types of startup data problemshttps://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Mon, 04 Mar 2024 02:00:00 +0000https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&rsquo;re likely to face.Avoiding AI complexity: First, write no codehttps://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Mon, 26 Feb 2024 01:45:00 +0000https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.Nudging ChatGPT to invent books you have no time to readhttps://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Mon, 12 Feb 2024 05:00:00 +0000https://yanirseroussi.com/2024/02/12/nudging-chatgpt-to-invent-books-you-have-no-time-to-read/Getting ChatGPT Plus to elaborate on possible book content and produce a PDF cheatsheet, with the goal of learning about its capabilities.Future software development may require fewer humanshttps://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/Tue, 06 Feb 2024 06:15:00 +0000https://yanirseroussi.com/til/2024/02/06/future-software-development-may-require-fewer-humans/Reflecting on an interview with Jason Warner, CEO of poolside.New decade, new tagline: Data & AI for Impacthttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Fri, 19 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Shifting focus to &lsquo;Data &amp; AI for Impact&rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.Artificial intelligence was a marketing term all along – just call it automationhttps://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/Replacing &lsquo;artificial intelligence&rsquo; with &lsquo;automation&rsquo; is a useful trick for cutting through the hype.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.How hackable are automated coding assessments?https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/Exploring the hackability of speed-based coding tests, using CodeSignal&rsquo;s Industry Coding Framework as a case study.Remaining relevant as a small language modelhttps://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).ChatGPT is transformative AIhttps://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/Sun, 11 Dec 2022 00:00:00 +0000https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&rsquo;s only the beginning.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models. \ No newline at end of file diff --git a/tags/business/index.html b/tags/business/index.html index cb4d67eae..07146864f 100644 --- a/tags/business/index.html +++ b/tags/business/index.html @@ -1,7 +1,7 @@ Business | Yanir Seroussi | Data & AI for Startup Impact

      Business

      Don't build AI, build with AI

      Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.

      November 18, 2024

      In praise of inconsistency: Ditching weekly posts

      On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.

      September 23, 2024

      Data, AI, humans, and climate: Carving a consulting niche

      Podcast chat on the reality of Data & AI and my consulting focus: Helping climate & nature tech startups ship data-intensive solutions.

      September 9, 2024

      Juggling delivery, admin, and leads: Monthly biz recap

      Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin & politics.

      September 2, 2024

      AI hype, AI bullshit, and the real deal

      My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.

      August 26, 2024

      First year lessons from a solo expertise biz in Data & AI

      Reflections on building a solo expertise business in Data & AI, focusing on climate tech startups. Lessons learned from the first year of transition.

      August 5, 2024

      Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini

      Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.

      July 8, 2024

      Five team-building mistakes, according to Patty McCord

      Takeaways from an interview with Patty McCord on The Startup Podcast.

      June 26, 2024

      The rules of the passion economy

      Summary of the main messages from the book The Passion Economy by Adam Davidson.

      June 12, 2024

      Startup data health starts with healthy event tracking

      Expanding on the startup health check question of tracking Kukuyeva’s five business aspects as wide events.

      June 10, 2024

      How to avoid startups with poor development processes

      Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.

      June 3, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Adapting to the economy of algorithms

      Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.

      May 25, 2024

      Question startup culture before accepting a data-to-AI role

      Eight questions that prospective data-to-AI employees should ask about a startup’s work and data culture.

      May 20, 2024

      Probing the People aspects of an early-stage startup

      Ten questions that prospective employees should ask about a startup’s team, especially for data-centric roles.

      May 13, 2024

      Business questions to ask before taking a startup data role

      Fourteen questions that prospective employees should ask about a startup’s business model and product, especially for data-focused roles.

      May 6, 2024

      Mentorship and the art of actionable advice

      Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.

      April 29, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      LinkedIn is a teachable skill

      An high-level overview of things I learned from Justin Welsh’s LinkedIn Operating System course.

      April 11, 2024

      The three Cs of indie consulting: Confidence, Cash, and Connections

      Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.

      February 17, 2024

      Substance over titles: Your first data hire may be a data scientist

      Advice for hiring a startup’s first data person: match skills to business needs, consider contractors, and get help from data people.

      February 5, 2024

      Psychographic specialisations may work for discipline generalists

      When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.

      January 9, 2024

      The power of parasocial relationships

      Repeated exposure to media personas creates relationships that help justify premium fees.

      January 8, 2024

      Positioning is a common problem for data scientists

      With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.

      December 18, 2023

      The lines between solo consulting and product building are blurry

      It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.

      September 25, 2023

      The Minimalist Entrepreneur is too prescriptive for me

      While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder’s experience.

      August 21, 2023

      Revisiting Start Small, Stay Small in 2023 (Chapter 2)

      A summary of the second chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.

      August 17, 2023

      Revisiting Start Small, Stay Small in 2023 (Chapter 1)

      A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.

      August 16, 2023

      Software commodities are eating interesting data science work

      Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?

      January 11, 2020

      Defining data science in 2018

      Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.

      July 22, 2018

      Customer lifetime value and the proliferation of misinformation on the internet

      There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.

      January 8, 2017

      If you don’t pay attention, data can drive you off a cliff

      Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.

      August 21, 2016

      Is Data Scientist a useless job title?

      It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.

      August 4, 2016

      You don’t need a data scientist (yet)

      Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.

      August 24, 2015

      The long road to a lifestyle business

      Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.

      March 22, 2015

      BCRecommender Traction Update

      Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.

      November 5, 2014

      Applying the Traction Book’s Bullseye framework to BCRecommender

      Ranking 19 channels with the goal of getting traction for BCRecommender.

      September 24, 2014

      Data’s hierarchy of needs

      Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.

      August 17, 2014
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | +">

      Business

      Data moats, stealthy AI, and more: AI Con 2024 notes

      Themes from AI Con 2024: data moats, stealthy AI use, Chatty’s UX revolution, and enduring fundamentals

      November 25, 2024

      Don't build AI, build with AI

      Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.

      November 18, 2024

      In praise of inconsistency: Ditching weekly posts

      On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.

      September 23, 2024

      Data, AI, humans, and climate: Carving a consulting niche

      Podcast chat on the reality of Data & AI and my consulting focus: Helping climate & nature tech startups ship data-intensive solutions.

      September 9, 2024

      Juggling delivery, admin, and leads: Monthly biz recap

      Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin & politics.

      September 2, 2024

      AI hype, AI bullshit, and the real deal

      My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.

      August 26, 2024

      First year lessons from a solo expertise biz in Data & AI

      Reflections on building a solo expertise business in Data & AI, focusing on climate tech startups. Lessons learned from the first year of transition.

      August 5, 2024

      Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini

      Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.

      July 8, 2024

      Five team-building mistakes, according to Patty McCord

      Takeaways from an interview with Patty McCord on The Startup Podcast.

      June 26, 2024

      The rules of the passion economy

      Summary of the main messages from the book The Passion Economy by Adam Davidson.

      June 12, 2024

      Startup data health starts with healthy event tracking

      Expanding on the startup health check question of tracking Kukuyeva’s five business aspects as wide events.

      June 10, 2024

      How to avoid startups with poor development processes

      Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.

      June 3, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Adapting to the economy of algorithms

      Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.

      May 25, 2024

      Question startup culture before accepting a data-to-AI role

      Eight questions that prospective data-to-AI employees should ask about a startup’s work and data culture.

      May 20, 2024

      Probing the People aspects of an early-stage startup

      Ten questions that prospective employees should ask about a startup’s team, especially for data-centric roles.

      May 13, 2024

      Business questions to ask before taking a startup data role

      Fourteen questions that prospective employees should ask about a startup’s business model and product, especially for data-focused roles.

      May 6, 2024

      Mentorship and the art of actionable advice

      Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.

      April 29, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      LinkedIn is a teachable skill

      An high-level overview of things I learned from Justin Welsh’s LinkedIn Operating System course.

      April 11, 2024

      The three Cs of indie consulting: Confidence, Cash, and Connections

      Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.

      February 17, 2024

      Substance over titles: Your first data hire may be a data scientist

      Advice for hiring a startup’s first data person: match skills to business needs, consider contractors, and get help from data people.

      February 5, 2024

      Psychographic specialisations may work for discipline generalists

      When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.

      January 9, 2024

      The power of parasocial relationships

      Repeated exposure to media personas creates relationships that help justify premium fees.

      January 8, 2024

      Positioning is a common problem for data scientists

      With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.

      December 18, 2023

      The lines between solo consulting and product building are blurry

      It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.

      September 25, 2023

      The Minimalist Entrepreneur is too prescriptive for me

      While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder’s experience.

      August 21, 2023

      Revisiting Start Small, Stay Small in 2023 (Chapter 2)

      A summary of the second chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.

      August 17, 2023

      Revisiting Start Small, Stay Small in 2023 (Chapter 1)

      A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.

      August 16, 2023

      Software commodities are eating interesting data science work

      Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?

      January 11, 2020

      Defining data science in 2018

      Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.

      July 22, 2018

      Customer lifetime value and the proliferation of misinformation on the internet

      There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.

      January 8, 2017

      If you don’t pay attention, data can drive you off a cliff

      Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.

      August 21, 2016

      Is Data Scientist a useless job title?

      It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.

      August 4, 2016

      You don’t need a data scientist (yet)

      Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.

      August 24, 2015

      The long road to a lifestyle business

      Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.

      March 22, 2015

      BCRecommender Traction Update

      Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.

      November 5, 2014

      Applying the Traction Book’s Bullseye framework to BCRecommender

      Ranking 19 channels with the goal of getting traction for BCRecommender.

      September 24, 2014

      Data’s hierarchy of needs

      Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.

      August 17, 2014
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & PaperMod
      \ No newline at end of file diff --git a/tags/business/index.xml b/tags/business/index.xml index cac48ea55..ce49f935c 100644 --- a/tags/business/index.xml +++ b/tags/business/index.xml @@ -1 +1 @@ -Business on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/business/Recent content in Business on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 18 Nov 2024 11:12:27 +1000Don't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.In praise of inconsistency: Ditching weekly postshttps://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.Data, AI, humans, and climate: Carving a consulting nichehttps://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Podcast chat on the reality of Data &amp; AI and my consulting focus: Helping climate &amp; nature tech startups ship data-intensive solutions.Juggling delivery, admin, and leads: Monthly biz recaphttps://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Mon, 02 Sep 2024 02:30:00 +0000https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp; politics.AI hype, AI bullshit, and the real dealhttps://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/Mon, 26 Aug 2024 01:00:00 +0000https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.First year lessons from a solo expertise biz in Data & AIhttps://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Mon, 05 Aug 2024 08:45:00 +0000https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Reflections on building a solo expertise business in Data &amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.Exploring an AI product idea with the latest ChatGPT, Claude, and Geminihttps://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Mon, 08 Jul 2024 02:45:00 +0000https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.Five team-building mistakes, according to Patty McCordhttps://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Wed, 26 Jun 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Takeaways from an interview with Patty McCord on The Startup Podcast.The rules of the passion economyhttps://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/Wed, 12 Jun 2024 02:50:00 +0000https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/Summary of the main messages from the book The Passion Economy by Adam Davidson.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.How to avoid startups with poor development processeshttps://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Mon, 03 Jun 2024 02:45:00 +0000https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Adapting to the economy of algorithmshttps://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Sat, 25 May 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.Question startup culture before accepting a data-to-AI rolehttps://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Mon, 20 May 2024 02:25:00 +0000https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Eight questions that prospective data-to-AI employees should ask about a startup&rsquo;s work and data culture.Probing the People aspects of an early-stage startuphttps://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Mon, 13 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Ten questions that prospective employees should ask about a startup&rsquo;s team, especially for data-centric roles.Business questions to ask before taking a startup data rolehttps://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Mon, 06 May 2024 04:30:00 +0000https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Fourteen questions that prospective employees should ask about a startup&rsquo;s business model and product, especially for data-focused roles.Mentorship and the art of actionable advicehttps://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Mon, 29 Apr 2024 06:30:00 +0000https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.LinkedIn is a teachable skillhttps://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/Thu, 11 Apr 2024 01:45:25 +0000https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/An high-level overview of things I learned from Justin Welsh&rsquo;s LinkedIn Operating System course.The three Cs of indie consulting: Confidence, Cash, and Connectionshttps://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/Sat, 17 Feb 2024 02:00:00 +0000https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.Substance over titles: Your first data hire may be a data scientisthttps://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Mon, 05 Feb 2024 02:45:00 +0000https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Advice for hiring a startup&rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.Psychographic specialisations may work for discipline generalistshttps://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/When focusing on a market segment defined by personal beliefs, it&rsquo;s often fine to position yourself as a generalist in your craft.The power of parasocial relationshipshttps://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Mon, 08 Jan 2024 06:00:00 +0000https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Repeated exposure to media personas creates relationships that help justify premium fees.Positioning is a common problem for data scientistshttps://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.The lines between solo consulting and product building are blurryhttps://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/Mon, 25 Sep 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.The Minimalist Entrepreneur is too prescriptive for mehttps://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/Mon, 21 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&rsquo;s experience.Revisiting Start Small, Stay Small in 2023 (Chapter 2)https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/Thu, 17 Aug 2023 07:45:00 +0000https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/A summary of the second chapter of Rob Walling&rsquo;s Start Small, Stay Small, along with my thoughts &amp; reflections.Revisiting Start Small, Stay Small in 2023 (Chapter 1)https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/Wed, 16 Aug 2023 05:45:00 +0000https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/A summary of the first chapter of Rob Walling&rsquo;s Start Small, Stay Small, along with my thoughts &amp; reflections.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There&rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&rsquo;s what I learned about doing it well.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.BCRecommender Traction Updatehttps://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.Applying the Traction Book’s Bullseye framework to BCRecommenderhttps://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Wed, 24 Sep 2014 04:57:39 +0000https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Ranking 19 channels with the goal of getting traction for BCRecommender.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp; insights can only be as good as the underlying data. \ No newline at end of file +Business on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/business/Recent content in Business on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 25 Nov 2024 13:32:00 +1000Data moats, stealthy AI, and more: AI Con 2024 noteshttps://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Themes from AI Con 2024: data moats, stealthy AI use, Chatty&rsquo;s UX revolution, and enduring fundamentalsDon't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.In praise of inconsistency: Ditching weekly postshttps://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/2024/09/23/in-praise-of-inconsistency-ditching-weekly-posts/On moving away from weekly blog posts in favour of deeper inconsistent articles and LinkedIn engagement.Data, AI, humans, and climate: Carving a consulting nichehttps://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Podcast chat on the reality of Data &amp; AI and my consulting focus: Helping climate &amp; nature tech startups ship data-intensive solutions.Juggling delivery, admin, and leads: Monthly biz recaphttps://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Mon, 02 Sep 2024 02:30:00 +0000https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp; politics.AI hype, AI bullshit, and the real dealhttps://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/Mon, 26 Aug 2024 01:00:00 +0000https://yanirseroussi.com/2024/08/26/ai-hype-ai-bullshit-and-the-real-deal/My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.First year lessons from a solo expertise biz in Data & AIhttps://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Mon, 05 Aug 2024 08:45:00 +0000https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Reflections on building a solo expertise business in Data &amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.Exploring an AI product idea with the latest ChatGPT, Claude, and Geminihttps://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Mon, 08 Jul 2024 02:45:00 +0000https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.Five team-building mistakes, according to Patty McCordhttps://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Wed, 26 Jun 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Takeaways from an interview with Patty McCord on The Startup Podcast.The rules of the passion economyhttps://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/Wed, 12 Jun 2024 02:50:00 +0000https://yanirseroussi.com/til/2024/06/12/the-rules-of-the-passion-economy/Summary of the main messages from the book The Passion Economy by Adam Davidson.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.How to avoid startups with poor development processeshttps://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Mon, 03 Jun 2024 02:45:00 +0000https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Adapting to the economy of algorithmshttps://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Sat, 25 May 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/05/25/adapting-to-the-economy-of-algorithms/Overview of the book The Economy of Algorithms by Marek Kowalkiewicz.Question startup culture before accepting a data-to-AI rolehttps://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Mon, 20 May 2024 02:25:00 +0000https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Eight questions that prospective data-to-AI employees should ask about a startup&rsquo;s work and data culture.Probing the People aspects of an early-stage startuphttps://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Mon, 13 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Ten questions that prospective employees should ask about a startup&rsquo;s team, especially for data-centric roles.Business questions to ask before taking a startup data rolehttps://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Mon, 06 May 2024 04:30:00 +0000https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Fourteen questions that prospective employees should ask about a startup&rsquo;s business model and product, especially for data-focused roles.Mentorship and the art of actionable advicehttps://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Mon, 29 Apr 2024 06:30:00 +0000https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.LinkedIn is a teachable skillhttps://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/Thu, 11 Apr 2024 01:45:25 +0000https://yanirseroussi.com/til/2024/04/11/linkedin-is-a-teachable-skill/An high-level overview of things I learned from Justin Welsh&rsquo;s LinkedIn Operating System course.The three Cs of indie consulting: Confidence, Cash, and Connectionshttps://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/Sat, 17 Feb 2024 02:00:00 +0000https://yanirseroussi.com/til/2024/02/17/the-three-cs-of-indie-consulting-confidence-cash-and-connections/Jonathan Stark makes a compelling argument why you should have the three Cs before quitting your job to go solo consulting.Substance over titles: Your first data hire may be a data scientisthttps://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Mon, 05 Feb 2024 02:45:00 +0000https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Advice for hiring a startup&rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.Psychographic specialisations may work for discipline generalistshttps://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/Tue, 09 Jan 2024 03:00:00 +0000https://yanirseroussi.com/til/2024/01/09/psychographic-specialisations-may-work-for-discipline-generalists/When focusing on a market segment defined by personal beliefs, it&rsquo;s often fine to position yourself as a generalist in your craft.The power of parasocial relationshipshttps://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Mon, 08 Jan 2024 06:00:00 +0000https://yanirseroussi.com/til/2024/01/08/the-power-of-parasocial-relationships/Repeated exposure to media personas creates relationships that help justify premium fees.Positioning is a common problem for data scientistshttps://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.The lines between solo consulting and product building are blurryhttps://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/Mon, 25 Sep 2023 00:00:00 +0000https://yanirseroussi.com/til/2023/09/25/the-lines-between-solo-consulting-and-product-building-are-blurry/It turns out that problems like finding a niche and defining the ideal clients are key to any solo business.The Minimalist Entrepreneur is too prescriptive for mehttps://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/Mon, 21 Aug 2023 03:15:00 +0000https://yanirseroussi.com/til/2023/08/21/the-minimalist-entrepreneur-is-too-prescriptive-for-me/While I found the story of Gumroad interesting, The Minimalist Entrepreneur seems to over-generalise from the founder&rsquo;s experience.Revisiting Start Small, Stay Small in 2023 (Chapter 2)https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/Thu, 17 Aug 2023 07:45:00 +0000https://yanirseroussi.com/til/2023/08/17/revisiting-start-small-stay-small-in-2023-chapter-2/A summary of the second chapter of Rob Walling&rsquo;s Start Small, Stay Small, along with my thoughts &amp; reflections.Revisiting Start Small, Stay Small in 2023 (Chapter 1)https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/Wed, 16 Aug 2023 05:45:00 +0000https://yanirseroussi.com/til/2023/08/16/revisiting-start-small-stay-small-in-2023-chapter-1/A summary of the first chapter of Rob Walling&rsquo;s Start Small, Stay Small, along with my thoughts &amp; reflections.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There&rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&rsquo;s what I learned about doing it well.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.BCRecommender Traction Updatehttps://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/2014/11/05/bcrecommender-traction-update/Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.Applying the Traction Book’s Bullseye framework to BCRecommenderhttps://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Wed, 24 Sep 2014 04:57:39 +0000https://yanirseroussi.com/2014/09/24/applying-the-traction-books-bullseye-framework-to-bcrecommender/Ranking 19 channels with the goal of getting traction for BCRecommender.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp; insights can only be as good as the underlying data. \ No newline at end of file diff --git a/tags/data-science/index.html b/tags/data-science/index.html index 4c0bc3803..b48af8869 100644 --- a/tags/data-science/index.html +++ b/tags/data-science/index.html @@ -1,7 +1,7 @@ Data Science | Yanir Seroussi | Data & AI for Startup Impact

      Data Science

      Don't build AI, build with AI

      Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.

      November 18, 2024

      Data, AI, humans, and climate: Carving a consulting niche

      Podcast chat on the reality of Data & AI and my consulting focus: Helping climate & nature tech startups ship data-intensive solutions.

      September 9, 2024

      Keep learning: Your career is never truly done

      Podcast chat on my career journey from software engineering to data science and independent consulting.

      August 12, 2024

      Your first Data-to-AI hire: Run a lovable process

      Video and key points from the second part of a webinar on a startup’s first data hire, covering tips for defining the role and running the process.

      July 22, 2024

      Learn about Dataland to avoid expensive hiring mistakes

      Video and key points from the first part of a webinar on a startup’s first data hire, covering data & AI definitions and high-level recommendations.

      July 15, 2024

      Is your tech stack ready for data-intensive applications?

      Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.

      June 24, 2024

      AI ain't gonna save you from bad data

      Since we’re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.

      June 17, 2024

      Startup data health starts with healthy event tracking

      Expanding on the startup health check question of tracking Kukuyeva’s five business aspects as wide events.

      June 10, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      My experience as a Data Tech Lead with Work on Climate

      The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting & fractional work.

      April 8, 2024

      Questions to consider when using AI for PDF data extraction

      Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.

      March 11, 2024

      Substance over titles: Your first data hire may be a data scientist

      Advice for hiring a startup’s first data person: match skills to business needs, consider contractors, and get help from data people.

      February 5, 2024

      New decade, new tagline: Data & AI for Impact

      Shifting focus to ‘Data & AI for Impact’, with more startup-related content, increased posting frequency, and deeper audience engagement.

      January 19, 2024

      Positioning is a common problem for data scientists

      With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.

      December 18, 2023

      You don't need a proprietary API for static maps

      For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.

      November 21, 2023

      Lessons from reluctant data engineering

      Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.

      October 25, 2023

      Google's Rules of Machine Learning still apply in the age of large language models

      Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.

      September 21, 2023

      Was data science a failure mode of software engineering?

      Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

      June 30, 2023

      Causal Machine Learning is off to a good start, despite some issues

      Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

      September 12, 2022

      The mission matters: Moving to climate tech as a data scientist

      Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

      June 6, 2022

      Building useful machine learning tools keeps getting easier: A fish ID case study

      Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.

      March 20, 2022

      Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials

      Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.

      January 14, 2022

      Use your human brain to avoid artificial intelligence disasters

      Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.

      November 22, 2021

      My work with Automattic

      Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

      October 7, 2021

      Many is not enough: Counting simulations to bootstrap the right way

      Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.

      August 24, 2020

      Software commodities are eating interesting data science work

      Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?

      January 11, 2020

      A day in the life of a remote data scientist

      Video of a talk I gave on remote data science work at the Data Science Sydney meetup.

      December 11, 2019

      Bootstrapping the right way?

      Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.

      October 6, 2019

      Hackers beware: Bootstrap sampling may be harmful

      Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.

      January 7, 2019

      The most practical causal inference book I’ve read (is still a draft)

      Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.

      December 24, 2018

      Reflections on remote data science work

      Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.

      November 3, 2018

      Defining data science in 2018

      Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.

      July 22, 2018

      Advice for aspiring data scientists and other FAQs

      Frequently asked questions by visitors to this site, especially around entering the data science field.

      October 15, 2017

      My 10-step path to becoming a remote data scientist with Automattic

      I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.

      July 29, 2017

      Exploring and visualising Reef Life Survey data

      Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.

      June 3, 2017

      Customer lifetime value and the proliferation of misinformation on the internet

      There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.

      January 8, 2017

      Ask Why! Finding motives, causes, and purpose in data science

      Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.

      September 19, 2016

      If you don’t pay attention, data can drive you off a cliff

      Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.

      August 21, 2016

      Is Data Scientist a useless job title?

      It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.

      August 4, 2016

      Making Bayesian A/B testing more accessible

      A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.

      June 19, 2016

      Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions

      Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.

      May 14, 2016

      The rise of greedy robots

      Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.

      March 20, 2016

      Why you should stop worrying about deep learning and deepen your understanding of causality instead

      Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.

      February 14, 2016

      The joys of offline data collection

      Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

      January 24, 2016

      This holiday season, give me real insights

      Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.

      December 8, 2015

      The hardest parts of data science

      Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.

      November 23, 2015

      Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling

      Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.

      October 19, 2015

      The wonderful world of recommender systems

      Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.

      October 2, 2015

      You don’t need a data scientist (yet)

      Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.

      August 24, 2015

      Learning about deep learning through album cover classification

      Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.

      July 6, 2015

      Hopping on the deep learning bandwagon

      To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.

      June 6, 2015

      First steps in data science: author-aware sentiment analysis

      I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.

      May 2, 2015

      My PhD work

      An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

      March 30, 2015

      The long road to a lifestyle business

      Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.

      March 22, 2015

      Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)

      My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).

      February 11, 2015

      Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)

      Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).

      January 29, 2015

      Stochastic Gradient Boosting: Choosing the Best Number of Iterations

      Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.

      December 29, 2014

      Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)

      Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.

      November 19, 2014

      What is data science?

      Data science has been a hot term in the past few years. Still, there isn’t a single definition of the field. This post discusses my favourite definition.

      October 23, 2014

      Greek Media Monitoring Kaggle competition: My approach

      Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.

      October 7, 2014

      Bandcamp recommendation and discovery algorithms

      The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.

      September 19, 2014

      How to (almost) win Kaggle competitions

      Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.

      August 24, 2014

      Data’s hierarchy of needs

      Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.

      August 17, 2014

      Kaggle competition tips and summaries

      Pointers to all my Kaggle advice posts and competition summaries.

      April 5, 2014

      Kaggle beginner tips

      First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.

      January 19, 2014
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | +">

      Data Science

      Data moats, stealthy AI, and more: AI Con 2024 notes

      Themes from AI Con 2024: data moats, stealthy AI use, Chatty’s UX revolution, and enduring fundamentals

      November 25, 2024

      Don't build AI, build with AI

      Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.

      November 18, 2024

      Data, AI, humans, and climate: Carving a consulting niche

      Podcast chat on the reality of Data & AI and my consulting focus: Helping climate & nature tech startups ship data-intensive solutions.

      September 9, 2024

      Keep learning: Your career is never truly done

      Podcast chat on my career journey from software engineering to data science and independent consulting.

      August 12, 2024

      Your first Data-to-AI hire: Run a lovable process

      Video and key points from the second part of a webinar on a startup’s first data hire, covering tips for defining the role and running the process.

      July 22, 2024

      Learn about Dataland to avoid expensive hiring mistakes

      Video and key points from the first part of a webinar on a startup’s first data hire, covering data & AI definitions and high-level recommendations.

      July 15, 2024

      Is your tech stack ready for data-intensive applications?

      Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.

      June 24, 2024

      AI ain't gonna save you from bad data

      Since we’re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.

      June 17, 2024

      Startup data health starts with healthy event tracking

      Expanding on the startup health check question of tracking Kukuyeva’s five business aspects as wide events.

      June 10, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      My experience as a Data Tech Lead with Work on Climate

      The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting & fractional work.

      April 8, 2024

      Questions to consider when using AI for PDF data extraction

      Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.

      March 11, 2024

      Substance over titles: Your first data hire may be a data scientist

      Advice for hiring a startup’s first data person: match skills to business needs, consider contractors, and get help from data people.

      February 5, 2024

      New decade, new tagline: Data & AI for Impact

      Shifting focus to ‘Data & AI for Impact’, with more startup-related content, increased posting frequency, and deeper audience engagement.

      January 19, 2024

      Positioning is a common problem for data scientists

      With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.

      December 18, 2023

      You don't need a proprietary API for static maps

      For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.

      November 21, 2023

      Lessons from reluctant data engineering

      Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.

      October 25, 2023

      Google's Rules of Machine Learning still apply in the age of large language models

      Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.

      September 21, 2023

      Was data science a failure mode of software engineering?

      Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

      June 30, 2023

      Causal Machine Learning is off to a good start, despite some issues

      Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.

      September 12, 2022

      The mission matters: Moving to climate tech as a data scientist

      Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

      June 6, 2022

      Building useful machine learning tools keeps getting easier: A fish ID case study

      Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.

      March 20, 2022

      Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials

      Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.

      January 14, 2022

      Use your human brain to avoid artificial intelligence disasters

      Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.

      November 22, 2021

      My work with Automattic

      Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

      October 7, 2021

      Many is not enough: Counting simulations to bootstrap the right way

      Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.

      August 24, 2020

      Software commodities are eating interesting data science work

      Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?

      January 11, 2020

      A day in the life of a remote data scientist

      Video of a talk I gave on remote data science work at the Data Science Sydney meetup.

      December 11, 2019

      Bootstrapping the right way?

      Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.

      October 6, 2019

      Hackers beware: Bootstrap sampling may be harmful

      Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren’t that simple.

      January 7, 2019

      The most practical causal inference book I’ve read (is still a draft)

      Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.

      December 24, 2018

      Reflections on remote data science work

      Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.

      November 3, 2018

      Defining data science in 2018

      Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.

      July 22, 2018

      Advice for aspiring data scientists and other FAQs

      Frequently asked questions by visitors to this site, especially around entering the data science field.

      October 15, 2017

      My 10-step path to becoming a remote data scientist with Automattic

      I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.

      July 29, 2017

      Exploring and visualising Reef Life Survey data

      Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.

      June 3, 2017

      Customer lifetime value and the proliferation of misinformation on the internet

      There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.

      January 8, 2017

      Ask Why! Finding motives, causes, and purpose in data science

      Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what & how of predictive modelling.

      September 19, 2016

      If you don’t pay attention, data can drive you off a cliff

      Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.

      August 21, 2016

      Is Data Scientist a useless job title?

      It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.

      August 4, 2016

      Making Bayesian A/B testing more accessible

      A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.

      June 19, 2016

      Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions

      Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg’s Causality, Probability, and Time.

      May 14, 2016

      The rise of greedy robots

      Is artificial/machine intelligence a future threat? I argue that it’s already here, with greedy robots already dominating our lives.

      March 20, 2016

      Why you should stop worrying about deep learning and deepen your understanding of causality instead

      Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.

      February 14, 2016

      The joys of offline data collection

      Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.

      January 24, 2016

      This holiday season, give me real insights

      Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.

      December 8, 2015

      The hardest parts of data science

      Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.

      November 23, 2015

      Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling

      Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.

      October 19, 2015

      The wonderful world of recommender systems

      Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.

      October 2, 2015

      You don’t need a data scientist (yet)

      Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.

      August 24, 2015

      Learning about deep learning through album cover classification

      Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.

      July 6, 2015

      Hopping on the deep learning bandwagon

      To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.

      June 6, 2015

      First steps in data science: author-aware sentiment analysis

      I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.

      May 2, 2015

      My PhD work

      An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.

      March 30, 2015

      The long road to a lifestyle business

      Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.

      March 22, 2015

      Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)

      My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).

      February 11, 2015

      Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)

      Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).

      January 29, 2015

      Stochastic Gradient Boosting: Choosing the Best Number of Iterations

      Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.

      December 29, 2014

      Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)

      Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.

      November 19, 2014

      What is data science?

      Data science has been a hot term in the past few years. Still, there isn’t a single definition of the field. This post discusses my favourite definition.

      October 23, 2014

      Greek Media Monitoring Kaggle competition: My approach

      Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.

      October 7, 2014

      Bandcamp recommendation and discovery algorithms

      The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.

      September 19, 2014

      How to (almost) win Kaggle competitions

      Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.

      August 24, 2014

      Data’s hierarchy of needs

      Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.

      August 17, 2014

      Kaggle competition tips and summaries

      Pointers to all my Kaggle advice posts and competition summaries.

      April 5, 2014

      Kaggle beginner tips

      First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.

      January 19, 2014
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & PaperMod
      \ No newline at end of file diff --git a/tags/data-science/index.xml b/tags/data-science/index.xml index e0856e0f6..b98a42746 100644 --- a/tags/data-science/index.xml +++ b/tags/data-science/index.xml @@ -1 +1 @@ -Data Science on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/data-science/Recent content in Data Science on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 18 Nov 2024 11:12:27 +1000Don't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.Data, AI, humans, and climate: Carving a consulting nichehttps://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Podcast chat on the reality of Data &amp; AI and my consulting focus: Helping climate &amp; nature tech startups ship data-intensive solutions.Keep learning: Your career is never truly donehttps://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Mon, 12 Aug 2024 01:30:00 +0000https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Podcast chat on my career journey from software engineering to data science and independent consulting.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.My experience as a Data Tech Lead with Work on Climatehttps://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp; fractional work.Questions to consider when using AI for PDF data extractionhttps://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Mon, 11 Mar 2024 00:00:00 +0000https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.Substance over titles: Your first data hire may be a data scientisthttps://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Mon, 05 Feb 2024 02:45:00 +0000https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Advice for hiring a startup&rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.New decade, new tagline: Data & AI for Impacthttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Fri, 19 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Shifting focus to &lsquo;Data &amp; AI for Impact&rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.Positioning is a common problem for data scientistshttps://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.You don't need a proprietary API for static mapshttps://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/Tue, 21 Nov 2023 06:00:00 +0000https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&rsquo;ve done with the company.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&rsquo;t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There&rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&rsquo;s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp; how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&rsquo;s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it&rsquo;s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as &ldquo;insights&rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Hopping on the deep learning bandwagonhttps://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/Sat, 06 Jun 2015 05:00:22 +0000https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.First steps in data science: author-aware sentiment analysishttps://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/My team&rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Thu, 29 Jan 2015 10:37:39 +0000https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).Stochastic Gradient Boosting: Choosing the Best Number of Iterationshttps://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.What is data science?https://yanirseroussi.com/2014/10/23/what-is-data-science/Thu, 23 Oct 2014 03:22:08 +0000https://yanirseroussi.com/2014/10/23/what-is-data-science/Data science has been a hot term in the past few years. Still, there isn&rsquo;t a single definition of the field. This post discusses my favourite definition.Greek Media Monitoring Kaggle competition: My approachhttps://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.Bandcamp recommendation and discovery algorithmshttps://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/Fri, 19 Sep 2014 14:26:55 +0000https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.How to (almost) win Kaggle competitionshttps://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp; insights can only be as good as the underlying data.Kaggle competition tips and summarieshttps://yanirseroussi.com/kaggle/Sat, 05 Apr 2014 23:46:10 +0000https://yanirseroussi.com/kaggle/Pointers to all my Kaggle advice posts and competition summaries.Kaggle beginner tipshttps://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/Sun, 19 Jan 2014 10:34:28 +0000https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions. \ No newline at end of file +Data Science on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/data-science/Recent content in Data Science on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 25 Nov 2024 13:32:00 +1000Data moats, stealthy AI, and more: AI Con 2024 noteshttps://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Themes from AI Con 2024: data moats, stealthy AI use, Chatty&rsquo;s UX revolution, and enduring fundamentalsDon't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.Data, AI, humans, and climate: Carving a consulting nichehttps://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/Podcast chat on the reality of Data &amp; AI and my consulting focus: Helping climate &amp; nature tech startups ship data-intensive solutions.Keep learning: Your career is never truly donehttps://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Mon, 12 Aug 2024 01:30:00 +0000https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/Podcast chat on my career journey from software engineering to data science and independent consulting.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.My experience as a Data Tech Lead with Work on Climatehttps://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp; fractional work.Questions to consider when using AI for PDF data extractionhttps://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Mon, 11 Mar 2024 00:00:00 +0000https://yanirseroussi.com/2024/03/11/questions-to-consider-when-using-ai-for-pdf-data-extraction/Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents.Substance over titles: Your first data hire may be a data scientisthttps://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Mon, 05 Feb 2024 02:45:00 +0000https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Advice for hiring a startup&rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people.New decade, new tagline: Data & AI for Impacthttps://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Fri, 19 Jan 2024 00:00:00 +0000https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-impact/Shifting focus to &lsquo;Data &amp; AI for Impact&rsquo;, with more startup-related content, increased posting frequency, and deeper audience engagement.Positioning is a common problem for data scientistshttps://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.You don't need a proprietary API for static mapshttps://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/Tue, 21 Nov 2023 06:00:00 +0000https://yanirseroussi.com/til/2023/11/21/you-dont-need-a-proprietary-api-for-static-maps/For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.Lessons from reluctant data engineeringhttps://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Wed, 25 Oct 2023 04:45:00 +0000https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.Google's Rules of Machine Learning still apply in the age of large language modelshttps://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Thu, 21 Sep 2023 21:30:00 +0000https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.Was data science a failure mode of software engineering?https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Fri, 30 Jun 2023 00:06:30 +0000https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.Causal Machine Learning is off to a good start, despite some issueshttps://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.The mission matters: Moving to climate tech as a data scientisthttps://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.Building useful machine learning tools keeps getting easier: A fish ID case studyhttps://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trialshttps://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.Use your human brain to avoid artificial intelligence disastershttps://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Mon, 22 Nov 2021 03:45:00 +0000https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.My work with Automattichttps://yanirseroussi.com/2021/10/07/my-work-with-automattic/Thu, 07 Oct 2021 00:00:00 +0000https://yanirseroussi.com/2021/10/07/my-work-with-automattic/Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I&rsquo;ve done with the company.Many is not enough: Counting simulations to bootstrap the right wayhttps://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/Going deeper into correct testing of different methods for bootstrap estimation of confidence intervals.Software commodities are eating interesting data science workhttps://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Sat, 11 Jan 2020 09:22:35 +0000https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/Being a data scientist can sometimes feel like a race against software commodities that replace interesting work. What can one do to remain relevant?A day in the life of a remote data scientisthttps://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Wed, 11 Dec 2019 22:06:19 +0000https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/Video of a talk I gave on remote data science work at the Data Science Sydney meetup.Bootstrapping the right way?https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Sun, 06 Oct 2019 06:48:07 +0000https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/Video and summary of a talk I gave at YOW! Data on bootstrap estimation of confidence intervals.Hackers beware: Bootstrap sampling may be harmfulhttps://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Mon, 07 Jan 2019 21:07:56 +0000https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/Bootstrap sampling has been promoted as an easy way of modelling uncertainty to hackers without much statistical knowledge. But things aren&rsquo;t that simple.The most practical causal inference book I’ve read (is still a draft)https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Mon, 24 Dec 2018 02:37:50 +0000https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/Causal Inference by Miguel Hernán and Jamie Robins is a must-read for anyone interested in the area.Reflections on remote data science workhttps://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Sat, 03 Nov 2018 06:33:13 +0000https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/Discussing the pluses and minuses of remote work eighteen months after joining Automattic as a data scientist.Defining data science in 2018https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Sun, 22 Jul 2018 08:27:43 +0000https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.Advice for aspiring data scientists and other FAQshttps://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/Frequently asked questions by visitors to this site, especially around entering the data science field.My 10-step path to becoming a remote data scientist with Automattichttps://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/I wanted a well-paid data science-y remote job with an established company that offers a good life balance and makes products I care about. I got it eventually.Exploring and visualising Reef Life Survey datahttps://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/Web tools I built to visualise Reef Life Survey data and assist citizen scientists in underwater visual census work.Customer lifetime value and the proliferation of misinformation on the internethttps://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/There&rsquo;s a lot of misleading content on the estimation of customer lifetime value. Here&rsquo;s what I learned about doing it well.Ask Why! Finding motives, causes, and purpose in data sciencehttps://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/Video and summary of a talk I gave at the Data Science Sydney meetup, about going beyond the what &amp; how of predictive modelling.If you don’t pay attention, data can drive you off a cliffhttps://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Sun, 21 Aug 2016 21:34:17 +0000https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.Is Data Scientist a useless job title?https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/Thu, 04 Aug 2016 22:26:03 +0000https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.Making Bayesian A/B testing more accessiblehttps://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/Sun, 19 Jun 2016 10:32:15 +0000https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/A web tool I built to interpret A/B test results in a Bayesian way, including prior specification, visualisations, and decision rules.Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptionshttps://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Sat, 14 May 2016 19:57:03 +0000https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/Discussing the need for untested assumptions and temporality in causal inference. Mostly based on Samantha Kleinberg&rsquo;s Causality, Probability, and Time.The rise of greedy robotshttps://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/Is artificial/machine intelligence a future threat? I argue that it&rsquo;s already here, with greedy robots already dominating our lives.Why you should stop worrying about deep learning and deepen your understanding of causality insteadhttps://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Sun, 14 Feb 2016 11:04:11 +0000https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/Causality is often overlooked but is of much higher relevance to most data scientists than deep learning.The joys of offline data collectionhttps://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/2016/01/24/the-joys-of-offline-data-collection/Insights on data collection and machine learning from spending a month sailing, diving, and counting fish with Reef Life Survey.This holiday season, give me real insightshttps://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/2015/12/08/this-holiday-season-give-me-real-insights/Some companies present raw data or information as &ldquo;insights&rdquo;. This post surveys some examples, and discusses how they can be turned into real insights.The hardest parts of data sciencehttps://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/2015/11/23/the-hardest-parts-of-data-science/Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.Miscommunicating science: Simplistic models, nutritionism, and the art of storytellinghttps://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.The wonderful world of recommender systemshttps://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/2015/10/02/the-wonderful-world-of-recommender-systems/Giving an overview of the field and common paradigms, and debunking five common myths about recommender systems.You don’t need a data scientist (yet)https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Mon, 24 Aug 2015 08:25:30 +0000https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.Learning about deep learning through album cover classificationhttps://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Mon, 06 Jul 2015 22:21:42 +0000https://yanirseroussi.com/2015/07/06/learning-about-deep-learning-through-album-cover-classification/Progress on my album cover classification project, highlighting lessons that would be useful to others who are getting started with deep learning.Hopping on the deep learning bandwagonhttps://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/Sat, 06 Jun 2015 05:00:22 +0000https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/To become proficient at solving data science problems, you need to get your hands dirty. Here, I used album cover classification to learn about deep learning.First steps in data science: author-aware sentiment analysishttps://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/I became a data scientist by doing a PhD, but the same steps can be followed without a formal education program.My PhD workhttps://yanirseroussi.com/phd-work/Mon, 30 Mar 2015 03:23:33 +0000https://yanirseroussi.com/phd-work/An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.The long road to a lifestyle businesshttps://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Sun, 22 Mar 2015 09:43:47 +0000https://yanirseroussi.com/2015/03/22/the-long-road-to-a-lifestyle-business/Progress since leaving my last full-time job and setting on an independent path that includes data science consulting and work on my own projects.Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/2015/02/11/learning-to-rank-for-personalised-search-yandex-search-personalisation-kaggle-competition-summary-part-2/My team&rsquo;s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).Is thinking like a search engine possible? (Yandex search personalisation – Kaggle competition summary – part 1)https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Thu, 29 Jan 2015 10:37:39 +0000https://yanirseroussi.com/2015/01/29/is-thinking-like-a-search-engine-possible-yandex-search-personalisation-kaggle-competition-summary-part-1/Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).Stochastic Gradient Boosting: Choosing the Best Number of Iterationshttps://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/2014/12/29/stochastic-gradient-boosting-choosing-the-best-number-of-iterations/Exploring an approach to choosing the optimal number of iterations in stochastic gradient boosting, following a bug I found in scikit-learn.Fitting noise: Forecasting the sale price of bulldozers (Kaggle competition summary)https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/2014/11/19/fitting-noise-forecasting-the-sale-price-of-bulldozers-kaggle-competition-summary/Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.What is data science?https://yanirseroussi.com/2014/10/23/what-is-data-science/Thu, 23 Oct 2014 03:22:08 +0000https://yanirseroussi.com/2014/10/23/what-is-data-science/Data science has been a hot term in the past few years. Still, there isn&rsquo;t a single definition of the field. This post discusses my favourite definition.Greek Media Monitoring Kaggle competition: My approachhttps://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.Bandcamp recommendation and discovery algorithmshttps://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/Fri, 19 Sep 2014 14:26:55 +0000https://yanirseroussi.com/2014/09/19/bandcamp-recommendation-and-discovery-algorithms/The recommendation backend for my BCRecommender service for personalised Bandcamp music discovery.How to (almost) win Kaggle competitionshttps://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.Data’s hierarchy of needshttps://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Sun, 17 Aug 2014 13:09:30 +0000https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms &amp; insights can only be as good as the underlying data.Kaggle competition tips and summarieshttps://yanirseroussi.com/kaggle/Sat, 05 Apr 2014 23:46:10 +0000https://yanirseroussi.com/kaggle/Pointers to all my Kaggle advice posts and competition summaries.Kaggle beginner tipshttps://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/Sun, 19 Jan 2014 10:34:28 +0000https://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions. \ No newline at end of file diff --git a/tags/data-strategy/index.html b/tags/data-strategy/index.html index 4279034b8..aaa8c4bc4 100644 --- a/tags/data-strategy/index.html +++ b/tags/data-strategy/index.html @@ -1,7 +1,7 @@ Data Strategy | Yanir Seroussi | Data & AI for Startup Impact

      Data Strategy

      Giving up on the minimum viable data stack

      Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.

      August 19, 2024

      AI/ML lifecycle models versus real-world mess

      The real world of AI/ML doesn’t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.

      July 29, 2024

      Your first Data-to-AI hire: Run a lovable process

      Video and key points from the second part of a webinar on a startup’s first data hire, covering tips for defining the role and running the process.

      July 22, 2024

      Learn about Dataland to avoid expensive hiring mistakes

      Video and key points from the first part of a webinar on a startup’s first data hire, covering data & AI definitions and high-level recommendations.

      July 15, 2024

      Is your tech stack ready for data-intensive applications?

      Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.

      June 24, 2024

      Dealing with endless data changes

      Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.

      June 22, 2024

      AI ain't gonna save you from bad data

      Since we’re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.

      June 17, 2024

      Startup data health starts with healthy event tracking

      Expanding on the startup health check question of tracking Kukuyeva’s five business aspects as wide events.

      June 10, 2024

      How to avoid startups with poor development processes

      Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.

      June 3, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Question startup culture before accepting a data-to-AI role

      Eight questions that prospective data-to-AI employees should ask about a startup’s work and data culture.

      May 20, 2024

      Probing the People aspects of an early-stage startup

      Ten questions that prospective employees should ask about a startup’s team, especially for data-centric roles.

      May 13, 2024

      Business questions to ask before taking a startup data role

      Fourteen questions that prospective employees should ask about a startup’s business model and product, especially for data-focused roles.

      May 6, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      My experience as a Data Tech Lead with Work on Climate

      The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting & fractional work.

      April 8, 2024

      Two types of startup data problems

      Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they’re likely to face.

      March 4, 2024

      Avoiding AI complexity: First, write no code

      Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.

      February 26, 2024

      Building your startup's minimum viable data stack

      First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.

      February 19, 2024
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | +">

      Data Strategy

      Data moats, stealthy AI, and more: AI Con 2024 notes

      Themes from AI Con 2024: data moats, stealthy AI use, Chatty’s UX revolution, and enduring fundamentals

      November 25, 2024

      Giving up on the minimum viable data stack

      Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.

      August 19, 2024

      AI/ML lifecycle models versus real-world mess

      The real world of AI/ML doesn’t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.

      July 29, 2024

      Your first Data-to-AI hire: Run a lovable process

      Video and key points from the second part of a webinar on a startup’s first data hire, covering tips for defining the role and running the process.

      July 22, 2024

      Learn about Dataland to avoid expensive hiring mistakes

      Video and key points from the first part of a webinar on a startup’s first data hire, covering data & AI definitions and high-level recommendations.

      July 15, 2024

      Is your tech stack ready for data-intensive applications?

      Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.

      June 24, 2024

      Dealing with endless data changes

      Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.

      June 22, 2024

      AI ain't gonna save you from bad data

      Since we’re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.

      June 17, 2024

      Startup data health starts with healthy event tracking

      Expanding on the startup health check question of tracking Kukuyeva’s five business aspects as wide events.

      June 10, 2024

      How to avoid startups with poor development processes

      Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.

      June 3, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Question startup culture before accepting a data-to-AI role

      Eight questions that prospective data-to-AI employees should ask about a startup’s work and data culture.

      May 20, 2024

      Probing the People aspects of an early-stage startup

      Ten questions that prospective employees should ask about a startup’s team, especially for data-centric roles.

      May 13, 2024

      Business questions to ask before taking a startup data role

      Fourteen questions that prospective employees should ask about a startup’s business model and product, especially for data-focused roles.

      May 6, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      My experience as a Data Tech Lead with Work on Climate

      The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting & fractional work.

      April 8, 2024

      Two types of startup data problems

      Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they’re likely to face.

      March 4, 2024

      Avoiding AI complexity: First, write no code

      Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.

      February 26, 2024

      Building your startup's minimum viable data stack

      First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.

      February 19, 2024
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & PaperMod
      \ No newline at end of file diff --git a/tags/data-strategy/index.xml b/tags/data-strategy/index.xml index 466570d5e..2976a1339 100644 --- a/tags/data-strategy/index.xml +++ b/tags/data-strategy/index.xml @@ -1 +1 @@ -Data Strategy on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/data-strategy/Recent content in Data Strategy on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 19 Aug 2024 13:41:26 +1000Giving up on the minimum viable data stackhttps://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Mon, 19 Aug 2024 03:30:00 +0000https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.AI/ML lifecycle models versus real-world messhttps://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/Mon, 29 Jul 2024 06:00:00 +0000https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/The real world of AI/ML doesn&rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.Dealing with endless data changeshttps://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Sat, 22 Jun 2024 22:50:00 +0000https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.How to avoid startups with poor development processeshttps://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Mon, 03 Jun 2024 02:45:00 +0000https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Question startup culture before accepting a data-to-AI rolehttps://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Mon, 20 May 2024 02:25:00 +0000https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Eight questions that prospective data-to-AI employees should ask about a startup&rsquo;s work and data culture.Probing the People aspects of an early-stage startuphttps://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Mon, 13 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Ten questions that prospective employees should ask about a startup&rsquo;s team, especially for data-centric roles.Business questions to ask before taking a startup data rolehttps://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Mon, 06 May 2024 04:30:00 +0000https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Fourteen questions that prospective employees should ask about a startup&rsquo;s business model and product, especially for data-focused roles.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.My experience as a Data Tech Lead with Work on Climatehttps://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp; fractional work.Two types of startup data problemshttps://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Mon, 04 Mar 2024 02:00:00 +0000https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&rsquo;re likely to face.Avoiding AI complexity: First, write no codehttps://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Mon, 26 Feb 2024 01:45:00 +0000https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.Building your startup's minimum viable data stackhttps://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/Mon, 19 Feb 2024 00:00:00 +0000https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations. \ No newline at end of file +Data Strategy on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/data-strategy/Recent content in Data Strategy on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 25 Nov 2024 13:32:00 +1000Data moats, stealthy AI, and more: AI Con 2024 noteshttps://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Themes from AI Con 2024: data moats, stealthy AI use, Chatty&rsquo;s UX revolution, and enduring fundamentalsGiving up on the minimum viable data stackhttps://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Mon, 19 Aug 2024 03:30:00 +0000https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.AI/ML lifecycle models versus real-world messhttps://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/Mon, 29 Jul 2024 06:00:00 +0000https://yanirseroussi.com/2024/07/29/ai-ml-lifecycle-models-versus-real-world-mess/The real world of AI/ML doesn&rsquo;t fit into a neat diagram, so I created another diagram and a maturity heatmap to model the mess.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.Dealing with endless data changeshttps://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Sat, 22 Jun 2024 22:50:00 +0000https://yanirseroussi.com/til/2024/06/22/dealing-with-endless-data-changes/Quotes from Demetrios Brinkmann on the relationship between MLOps and DevOps, with MLOps allowing for managing changes that come from data.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.How to avoid startups with poor development processeshttps://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Mon, 03 Jun 2024 02:45:00 +0000https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Question startup culture before accepting a data-to-AI rolehttps://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Mon, 20 May 2024 02:25:00 +0000https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Eight questions that prospective data-to-AI employees should ask about a startup&rsquo;s work and data culture.Probing the People aspects of an early-stage startuphttps://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Mon, 13 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Ten questions that prospective employees should ask about a startup&rsquo;s team, especially for data-centric roles.Business questions to ask before taking a startup data rolehttps://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Mon, 06 May 2024 04:30:00 +0000https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Fourteen questions that prospective employees should ask about a startup&rsquo;s business model and product, especially for data-focused roles.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.My experience as a Data Tech Lead with Work on Climatehttps://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp; fractional work.Two types of startup data problemshttps://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Mon, 04 Mar 2024 02:00:00 +0000https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&rsquo;re likely to face.Avoiding AI complexity: First, write no codehttps://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Mon, 26 Feb 2024 01:45:00 +0000https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.Building your startup's minimum viable data stackhttps://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/Mon, 19 Feb 2024 00:00:00 +0000https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations. \ No newline at end of file diff --git a/tags/index.html b/tags/index.html index 40d30fea2..f06a6ce78 100644 --- a/tags/index.html +++ b/tags/index.html @@ -1,7 +1,7 @@ Tags | Yanir Seroussi | Data & AI for Startup Impact

      Tags

      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | +">

      Tags

      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & PaperMod
      \ No newline at end of file diff --git a/tags/index.xml b/tags/index.xml index 0d6a27d7e..926b0f935 100644 --- a/tags/index.xml +++ b/tags/index.xml @@ -1 +1 @@ -Tags on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/Recent content in Tags on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 18 Nov 2024 11:12:27 +1000Artificial Intelligencehttps://yanirseroussi.com/tags/artificial-intelligence/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/tags/artificial-intelligence/Businesshttps://yanirseroussi.com/tags/business/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/tags/business/Data Sciencehttps://yanirseroussi.com/tags/data-science/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/tags/data-science/Startupshttps://yanirseroussi.com/tags/startups/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/tags/startups/Blogginghttps://yanirseroussi.com/tags/blogging/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/tags/blogging/LinkedInhttps://yanirseroussi.com/tags/linkedin/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/tags/linkedin/Personalhttps://yanirseroussi.com/tags/personal/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/tags/personal/Productivityhttps://yanirseroussi.com/tags/productivity/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/tags/productivity/Careerhttps://yanirseroussi.com/tags/career/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/tags/career/Consultinghttps://yanirseroussi.com/tags/consulting/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/tags/consulting/Environmenthttps://yanirseroussi.com/tags/environment/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/tags/environment/Videohttps://yanirseroussi.com/tags/video/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/tags/video/Marketinghttps://yanirseroussi.com/tags/marketing/Mon, 26 Aug 2024 01:00:00 +0000https://yanirseroussi.com/tags/marketing/Data Engineeringhttps://yanirseroussi.com/tags/data-engineering/Mon, 19 Aug 2024 03:30:00 +0000https://yanirseroussi.com/tags/data-engineering/Data Strategyhttps://yanirseroussi.com/tags/data-strategy/Mon, 19 Aug 2024 03:30:00 +0000https://yanirseroussi.com/tags/data-strategy/Software Engineeringhttps://yanirseroussi.com/tags/software-engineering/Mon, 12 Aug 2024 01:30:00 +0000https://yanirseroussi.com/tags/software-engineering/Machine Learninghttps://yanirseroussi.com/tags/machine-learning/Mon, 29 Jul 2024 06:00:00 +0000https://yanirseroussi.com/tags/machine-learning/Analyticshttps://yanirseroussi.com/tags/analytics/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/tags/analytics/Data Hiringhttps://yanirseroussi.com/tags/data-hiring/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/tags/data-hiring/Securityhttps://yanirseroussi.com/tags/security/Mon, 01 Jul 2024 02:00:00 +0000https://yanirseroussi.com/tags/security/Quoteshttps://yanirseroussi.com/tags/quotes/Wed, 26 Jun 2024 00:00:00 +0000https://yanirseroussi.com/tags/quotes/DevOpshttps://yanirseroussi.com/tags/devops/Sat, 22 Jun 2024 22:50:00 +0000https://yanirseroussi.com/tags/devops/Bookshttps://yanirseroussi.com/tags/books/Wed, 12 Jun 2024 02:50:00 +0000https://yanirseroussi.com/tags/books/Futurismhttps://yanirseroussi.com/tags/futurism/Sat, 25 May 2024 00:00:00 +0000https://yanirseroussi.com/tags/futurism/Climate Changehttps://yanirseroussi.com/tags/climate-change/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/tags/climate-change/Remote Workhttps://yanirseroussi.com/tags/remote-work/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/tags/remote-work/Marine Sciencehttps://yanirseroussi.com/tags/marine-science/Mon, 01 Apr 2024 06:00:00 +0000https://yanirseroussi.com/tags/marine-science/Reef Life Surveyhttps://yanirseroussi.com/tags/reef-life-survey/Mon, 01 Apr 2024 06:00:00 +0000https://yanirseroussi.com/tags/reef-life-survey/Data Businesshttps://yanirseroussi.com/tags/data-business/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/tags/data-business/Energy Marketshttps://yanirseroussi.com/tags/energy-markets/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/tags/energy-markets/Data Visualisationhttps://yanirseroussi.com/tags/data-visualisation/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/data-visualisation/Web Developmenthttps://yanirseroussi.com/tags/web-development/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/web-development/Ethicshttps://yanirseroussi.com/tags/ethics/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/tags/ethics/GitHubhttps://yanirseroussi.com/tags/github/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/tags/github/Hugohttps://yanirseroussi.com/tags/hugo/Mon, 17 Jul 2023 00:06:15 +0000https://yanirseroussi.com/tags/hugo/Hackershttps://yanirseroussi.com/tags/hackers/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/tags/hackers/Machine Intelligencehttps://yanirseroussi.com/tags/machine-intelligence/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/tags/machine-intelligence/Causal Inferencehttps://yanirseroussi.com/tags/causal-inference/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/tags/causal-inference/Automattichttps://yanirseroussi.com/tags/automattic/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/automattic/Orkestrahttps://yanirseroussi.com/tags/orkestra/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/orkestra/Politicshttps://yanirseroussi.com/tags/politics/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/politics/Sustainabilityhttps://yanirseroussi.com/tags/sustainability/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/sustainability/Deep Learninghttps://yanirseroussi.com/tags/deep-learning/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/tags/deep-learning/Fast.aihttps://yanirseroussi.com/tags/fast.ai/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/tags/fast.ai/Split Testinghttps://yanirseroussi.com/tags/split-testing/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/tags/split-testing/Statisticshttps://yanirseroussi.com/tags/statistics/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/tags/statistics/Cloudflarehttps://yanirseroussi.com/tags/cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/tags/cloudflare/WordPresshttps://yanirseroussi.com/tags/wordpress/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/tags/wordpress/Bootstrappinghttps://yanirseroussi.com/tags/bootstrapping/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/tags/bootstrapping/Confidence Intervalshttps://yanirseroussi.com/tags/confidence-intervals/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/tags/confidence-intervals/Frequently Asked Questionshttps://yanirseroussi.com/tags/frequently-asked-questions/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/tags/frequently-asked-questions/Bandcamphttps://yanirseroussi.com/tags/bandcamp/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/tags/bandcamp/BCRecommenderhttps://yanirseroussi.com/tags/bcrecommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/tags/bcrecommender/Elasticsearchhttps://yanirseroussi.com/tags/elasticsearch/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/tags/elasticsearch/JavaScripthttps://yanirseroussi.com/tags/javascript/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/tags/javascript/Predictive Modellinghttps://yanirseroussi.com/tags/predictive-modelling/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/predictive-modelling/Science Communicationhttps://yanirseroussi.com/tags/science-communication/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/science-communication/Search Engine Optimisationhttps://yanirseroussi.com/tags/search-engine-optimisation/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/search-engine-optimisation/Insightshttps://yanirseroussi.com/tags/insights/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/tags/insights/Economicshttps://yanirseroussi.com/tags/economics/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/tags/economics/Scuba Divinghttps://yanirseroussi.com/tags/scuba-diving/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/tags/scuba-diving/Facebookhttps://yanirseroussi.com/tags/facebook/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/tags/facebook/Kagglehttps://yanirseroussi.com/tags/kaggle/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/tags/kaggle/MongoDBhttps://yanirseroussi.com/tags/mongodb/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/tags/mongodb/Healthhttps://yanirseroussi.com/tags/health/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/health/Nutritionhttps://yanirseroussi.com/tags/nutrition/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/nutrition/Nutritionismhttps://yanirseroussi.com/tags/nutritionism/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/nutritionism/Recommender Systemshttps://yanirseroussi.com/tags/recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/tags/recommender-systems/Parse.comhttps://yanirseroussi.com/tags/parse.com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/tags/parse.com/Sentiment Analysishttps://yanirseroussi.com/tags/sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/tags/sentiment-analysis/Divestmenthttps://yanirseroussi.com/tags/divestment/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/tags/divestment/Fossil Fuelshttps://yanirseroussi.com/tags/fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/tags/fossil-fuels/Gradient Boostinghttps://yanirseroussi.com/tags/gradient-boosting/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/tags/gradient-boosting/Kaggle Competitionhttps://yanirseroussi.com/tags/kaggle-competition/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/tags/kaggle-competition/PhantomJShttps://yanirseroussi.com/tags/phantomjs/Thu, 15 Jan 2015 04:41:16 +0000https://yanirseroussi.com/tags/phantomjs/Scikit-Learnhttps://yanirseroussi.com/tags/scikit-learn/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/tags/scikit-learn/Traction Bookhttps://yanirseroussi.com/tags/traction-book/Mon, 15 Dec 2014 04:25:25 +0000https://yanirseroussi.com/tags/traction-book/Price Forecastinghttps://yanirseroussi.com/tags/price-forecasting/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/tags/price-forecasting/Musichttps://yanirseroussi.com/tags/music/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/tags/music/Multi-Label Classificationhttps://yanirseroussi.com/tags/multi-label-classification/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/tags/multi-label-classification/Music Industryhttps://yanirseroussi.com/tags/music-industry/Sat, 30 Aug 2014 08:11:38 +0000https://yanirseroussi.com/tags/music-industry/Kaggle Beginnershttps://yanirseroussi.com/tags/kaggle-beginners/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/tags/kaggle-beginners/ \ No newline at end of file +Tags on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/Recent content in Tags on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 25 Nov 2024 13:32:00 +1000Artificial Intelligencehttps://yanirseroussi.com/tags/artificial-intelligence/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/tags/artificial-intelligence/Businesshttps://yanirseroussi.com/tags/business/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/tags/business/Data Sciencehttps://yanirseroussi.com/tags/data-science/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/tags/data-science/Data Strategyhttps://yanirseroussi.com/tags/data-strategy/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/tags/data-strategy/Startupshttps://yanirseroussi.com/tags/startups/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/tags/startups/Blogginghttps://yanirseroussi.com/tags/blogging/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/tags/blogging/LinkedInhttps://yanirseroussi.com/tags/linkedin/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/tags/linkedin/Personalhttps://yanirseroussi.com/tags/personal/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/tags/personal/Productivityhttps://yanirseroussi.com/tags/productivity/Mon, 23 Sep 2024 06:00:00 +0000https://yanirseroussi.com/tags/productivity/Careerhttps://yanirseroussi.com/tags/career/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/tags/career/Consultinghttps://yanirseroussi.com/tags/consulting/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/tags/consulting/Environmenthttps://yanirseroussi.com/tags/environment/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/tags/environment/Videohttps://yanirseroussi.com/tags/video/Mon, 09 Sep 2024 00:30:00 +0000https://yanirseroussi.com/tags/video/Marketinghttps://yanirseroussi.com/tags/marketing/Mon, 26 Aug 2024 01:00:00 +0000https://yanirseroussi.com/tags/marketing/Data Engineeringhttps://yanirseroussi.com/tags/data-engineering/Mon, 19 Aug 2024 03:30:00 +0000https://yanirseroussi.com/tags/data-engineering/Software Engineeringhttps://yanirseroussi.com/tags/software-engineering/Mon, 12 Aug 2024 01:30:00 +0000https://yanirseroussi.com/tags/software-engineering/Machine Learninghttps://yanirseroussi.com/tags/machine-learning/Mon, 29 Jul 2024 06:00:00 +0000https://yanirseroussi.com/tags/machine-learning/Analyticshttps://yanirseroussi.com/tags/analytics/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/tags/analytics/Data Hiringhttps://yanirseroussi.com/tags/data-hiring/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/tags/data-hiring/Securityhttps://yanirseroussi.com/tags/security/Mon, 01 Jul 2024 02:00:00 +0000https://yanirseroussi.com/tags/security/Quoteshttps://yanirseroussi.com/tags/quotes/Wed, 26 Jun 2024 00:00:00 +0000https://yanirseroussi.com/tags/quotes/DevOpshttps://yanirseroussi.com/tags/devops/Sat, 22 Jun 2024 22:50:00 +0000https://yanirseroussi.com/tags/devops/Bookshttps://yanirseroussi.com/tags/books/Wed, 12 Jun 2024 02:50:00 +0000https://yanirseroussi.com/tags/books/Futurismhttps://yanirseroussi.com/tags/futurism/Sat, 25 May 2024 00:00:00 +0000https://yanirseroussi.com/tags/futurism/Climate Changehttps://yanirseroussi.com/tags/climate-change/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/tags/climate-change/Remote Workhttps://yanirseroussi.com/tags/remote-work/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/tags/remote-work/Marine Sciencehttps://yanirseroussi.com/tags/marine-science/Mon, 01 Apr 2024 06:00:00 +0000https://yanirseroussi.com/tags/marine-science/Reef Life Surveyhttps://yanirseroussi.com/tags/reef-life-survey/Mon, 01 Apr 2024 06:00:00 +0000https://yanirseroussi.com/tags/reef-life-survey/Data Businesshttps://yanirseroussi.com/tags/data-business/Mon, 18 Dec 2023 00:30:00 +0000https://yanirseroussi.com/tags/data-business/Energy Marketshttps://yanirseroussi.com/tags/energy-markets/Thu, 14 Dec 2023 00:15:00 +0000https://yanirseroussi.com/tags/energy-markets/Data Visualisationhttps://yanirseroussi.com/tags/data-visualisation/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/data-visualisation/Web Developmenthttps://yanirseroussi.com/tags/web-development/Wed, 29 Nov 2023 02:00:00 +0000https://yanirseroussi.com/tags/web-development/Ethicshttps://yanirseroussi.com/tags/ethics/Fri, 06 Oct 2023 05:00:00 +0000https://yanirseroussi.com/tags/ethics/GitHubhttps://yanirseroussi.com/tags/github/Sun, 23 Jul 2023 00:07:15 +0000https://yanirseroussi.com/tags/github/Hugohttps://yanirseroussi.com/tags/hugo/Mon, 17 Jul 2023 00:06:15 +0000https://yanirseroussi.com/tags/hugo/Hackershttps://yanirseroussi.com/tags/hackers/Fri, 26 May 2023 00:03:00 +0000https://yanirseroussi.com/tags/hackers/Machine Intelligencehttps://yanirseroussi.com/tags/machine-intelligence/Fri, 21 Apr 2023 00:06:30 +0000https://yanirseroussi.com/tags/machine-intelligence/Causal Inferencehttps://yanirseroussi.com/tags/causal-inference/Mon, 12 Sep 2022 02:45:00 +0000https://yanirseroussi.com/tags/causal-inference/Automattichttps://yanirseroussi.com/tags/automattic/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/automattic/Orkestrahttps://yanirseroussi.com/tags/orkestra/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/orkestra/Politicshttps://yanirseroussi.com/tags/politics/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/politics/Sustainabilityhttps://yanirseroussi.com/tags/sustainability/Mon, 06 Jun 2022 00:00:00 +0000https://yanirseroussi.com/tags/sustainability/Deep Learninghttps://yanirseroussi.com/tags/deep-learning/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/tags/deep-learning/Fast.aihttps://yanirseroussi.com/tags/fast.ai/Sun, 20 Mar 2022 04:30:00 +0000https://yanirseroussi.com/tags/fast.ai/Split Testinghttps://yanirseroussi.com/tags/split-testing/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/tags/split-testing/Statisticshttps://yanirseroussi.com/tags/statistics/Fri, 14 Jan 2022 00:05:40 +0000https://yanirseroussi.com/tags/statistics/Cloudflarehttps://yanirseroussi.com/tags/cloudflare/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/tags/cloudflare/WordPresshttps://yanirseroussi.com/tags/wordpress/Wed, 10 Nov 2021 06:30:00 +0000https://yanirseroussi.com/tags/wordpress/Bootstrappinghttps://yanirseroussi.com/tags/bootstrapping/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/tags/bootstrapping/Confidence Intervalshttps://yanirseroussi.com/tags/confidence-intervals/Mon, 24 Aug 2020 01:35:17 +0000https://yanirseroussi.com/tags/confidence-intervals/Frequently Asked Questionshttps://yanirseroussi.com/tags/frequently-asked-questions/Sun, 15 Oct 2017 09:15:25 +0000https://yanirseroussi.com/tags/frequently-asked-questions/Bandcamphttps://yanirseroussi.com/tags/bandcamp/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/tags/bandcamp/BCRecommenderhttps://yanirseroussi.com/tags/bcrecommender/Sat, 02 Sep 2017 10:19:02 +0000https://yanirseroussi.com/tags/bcrecommender/Elasticsearchhttps://yanirseroussi.com/tags/elasticsearch/Sat, 29 Jul 2017 05:39:26 +0000https://yanirseroussi.com/tags/elasticsearch/JavaScripthttps://yanirseroussi.com/tags/javascript/Sat, 03 Jun 2017 00:49:05 +0000https://yanirseroussi.com/tags/javascript/Predictive Modellinghttps://yanirseroussi.com/tags/predictive-modelling/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/predictive-modelling/Science Communicationhttps://yanirseroussi.com/tags/science-communication/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/science-communication/Search Engine Optimisationhttps://yanirseroussi.com/tags/search-engine-optimisation/Sun, 08 Jan 2017 20:02:30 +0000https://yanirseroussi.com/tags/search-engine-optimisation/Insightshttps://yanirseroussi.com/tags/insights/Mon, 19 Sep 2016 21:28:44 +0000https://yanirseroussi.com/tags/insights/Economicshttps://yanirseroussi.com/tags/economics/Sun, 20 Mar 2016 20:33:43 +0000https://yanirseroussi.com/tags/economics/Scuba Divinghttps://yanirseroussi.com/tags/scuba-diving/Sun, 24 Jan 2016 00:32:25 +0000https://yanirseroussi.com/tags/scuba-diving/Facebookhttps://yanirseroussi.com/tags/facebook/Tue, 08 Dec 2015 06:57:25 +0000https://yanirseroussi.com/tags/facebook/Kagglehttps://yanirseroussi.com/tags/kaggle/Mon, 23 Nov 2015 04:14:21 +0000https://yanirseroussi.com/tags/kaggle/MongoDBhttps://yanirseroussi.com/tags/mongodb/Wed, 04 Nov 2015 03:53:18 +0000https://yanirseroussi.com/tags/mongodb/Healthhttps://yanirseroussi.com/tags/health/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/health/Nutritionhttps://yanirseroussi.com/tags/nutrition/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/nutrition/Nutritionismhttps://yanirseroussi.com/tags/nutritionism/Mon, 19 Oct 2015 00:02:32 +0000https://yanirseroussi.com/tags/nutritionism/Recommender Systemshttps://yanirseroussi.com/tags/recommender-systems/Fri, 02 Oct 2015 05:25:57 +0000https://yanirseroussi.com/tags/recommender-systems/Parse.comhttps://yanirseroussi.com/tags/parse.com/Fri, 31 Jul 2015 03:29:50 +0000https://yanirseroussi.com/tags/parse.com/Sentiment Analysishttps://yanirseroussi.com/tags/sentiment-analysis/Sat, 02 May 2015 08:31:10 +0000https://yanirseroussi.com/tags/sentiment-analysis/Divestmenthttps://yanirseroussi.com/tags/divestment/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/tags/divestment/Fossil Fuelshttps://yanirseroussi.com/tags/fossil-fuels/Fri, 24 Apr 2015 00:19:36 +0000https://yanirseroussi.com/tags/fossil-fuels/Gradient Boostinghttps://yanirseroussi.com/tags/gradient-boosting/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/tags/gradient-boosting/Kaggle Competitionhttps://yanirseroussi.com/tags/kaggle-competition/Wed, 11 Feb 2015 06:34:17 +0000https://yanirseroussi.com/tags/kaggle-competition/PhantomJShttps://yanirseroussi.com/tags/phantomjs/Thu, 15 Jan 2015 04:41:16 +0000https://yanirseroussi.com/tags/phantomjs/Scikit-Learnhttps://yanirseroussi.com/tags/scikit-learn/Mon, 29 Dec 2014 02:30:06 +0000https://yanirseroussi.com/tags/scikit-learn/Traction Bookhttps://yanirseroussi.com/tags/traction-book/Mon, 15 Dec 2014 04:25:25 +0000https://yanirseroussi.com/tags/traction-book/Price Forecastinghttps://yanirseroussi.com/tags/price-forecasting/Wed, 19 Nov 2014 09:17:34 +0000https://yanirseroussi.com/tags/price-forecasting/Musichttps://yanirseroussi.com/tags/music/Wed, 05 Nov 2014 02:29:35 +0000https://yanirseroussi.com/tags/music/Multi-Label Classificationhttps://yanirseroussi.com/tags/multi-label-classification/Tue, 07 Oct 2014 03:21:35 +0000https://yanirseroussi.com/tags/multi-label-classification/Music Industryhttps://yanirseroussi.com/tags/music-industry/Sat, 30 Aug 2014 08:11:38 +0000https://yanirseroussi.com/tags/music-industry/Kaggle Beginnershttps://yanirseroussi.com/tags/kaggle-beginners/Sun, 24 Aug 2014 12:40:53 +0000https://yanirseroussi.com/tags/kaggle-beginners/ \ No newline at end of file diff --git a/tags/startups/index.html b/tags/startups/index.html index e46b58c98..e153c5819 100644 --- a/tags/startups/index.html +++ b/tags/startups/index.html @@ -1,7 +1,7 @@ Startups | Yanir Seroussi | Data & AI for Startup Impact

      Startups

      Don't build AI, build with AI

      Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.

      November 18, 2024

      Juggling delivery, admin, and leads: Monthly biz recap

      Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin & politics.

      September 2, 2024

      Giving up on the minimum viable data stack

      Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.

      August 19, 2024

      First year lessons from a solo expertise biz in Data & AI

      Reflections on building a solo expertise business in Data & AI, focusing on climate tech startups. Lessons learned from the first year of transition.

      August 5, 2024

      Your first Data-to-AI hire: Run a lovable process

      Video and key points from the second part of a webinar on a startup’s first data hire, covering tips for defining the role and running the process.

      July 22, 2024

      Learn about Dataland to avoid expensive hiring mistakes

      Video and key points from the first part of a webinar on a startup’s first data hire, covering data & AI definitions and high-level recommendations.

      July 15, 2024

      Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini

      Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.

      July 8, 2024

      Stay alert! Security is everyone's responsibility

      Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.

      July 1, 2024

      Five team-building mistakes, according to Patty McCord

      Takeaways from an interview with Patty McCord on The Startup Podcast.

      June 26, 2024

      Is your tech stack ready for data-intensive applications?

      Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.

      June 24, 2024

      AI ain't gonna save you from bad data

      Since we’re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.

      June 17, 2024

      Startup data health starts with healthy event tracking

      Expanding on the startup health check question of tracking Kukuyeva’s five business aspects as wide events.

      June 10, 2024

      How to avoid startups with poor development processes

      Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.

      June 3, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Question startup culture before accepting a data-to-AI role

      Eight questions that prospective data-to-AI employees should ask about a startup’s work and data culture.

      May 20, 2024

      Probing the People aspects of an early-stage startup

      Ten questions that prospective employees should ask about a startup’s team, especially for data-centric roles.

      May 13, 2024

      Business questions to ask before taking a startup data role

      Fourteen questions that prospective employees should ask about a startup’s business model and product, especially for data-focused roles.

      May 6, 2024

      Mentorship and the art of actionable advice

      Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.

      April 29, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      My experience as a Data Tech Lead with Work on Climate

      The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting & fractional work.

      April 8, 2024

      Two types of startup data problems

      Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they’re likely to face.

      March 4, 2024

      Avoiding AI complexity: First, write no code

      Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.

      February 26, 2024

      Building your startup's minimum viable data stack

      First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.

      February 19, 2024

      Substance over titles: Your first data hire may be a data scientist

      Advice for hiring a startup’s first data person: match skills to business needs, consider contractors, and get help from data people.

      February 5, 2024
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | +">

      Startups

      Data moats, stealthy AI, and more: AI Con 2024 notes

      Themes from AI Con 2024: data moats, stealthy AI use, Chatty’s UX revolution, and enduring fundamentals

      November 25, 2024

      Don't build AI, build with AI

      Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.

      November 18, 2024

      Juggling delivery, admin, and leads: Monthly biz recap

      Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin & politics.

      September 2, 2024

      Giving up on the minimum viable data stack

      Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.

      August 19, 2024

      First year lessons from a solo expertise biz in Data & AI

      Reflections on building a solo expertise business in Data & AI, focusing on climate tech startups. Lessons learned from the first year of transition.

      August 5, 2024

      Your first Data-to-AI hire: Run a lovable process

      Video and key points from the second part of a webinar on a startup’s first data hire, covering tips for defining the role and running the process.

      July 22, 2024

      Learn about Dataland to avoid expensive hiring mistakes

      Video and key points from the first part of a webinar on a startup’s first data hire, covering data & AI definitions and high-level recommendations.

      July 15, 2024

      Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini

      Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.

      July 8, 2024

      Stay alert! Security is everyone's responsibility

      Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.

      July 1, 2024

      Five team-building mistakes, according to Patty McCord

      Takeaways from an interview with Patty McCord on The Startup Podcast.

      June 26, 2024

      Is your tech stack ready for data-intensive applications?

      Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.

      June 24, 2024

      AI ain't gonna save you from bad data

      Since we’re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.

      June 17, 2024

      Startup data health starts with healthy event tracking

      Expanding on the startup health check question of tracking Kukuyeva’s five business aspects as wide events.

      June 10, 2024

      How to avoid startups with poor development processes

      Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.

      June 3, 2024

      Plumbing, Decisions, and Automation: De-hyping Data & AI

      Three essential questions to understand where an organisation stands when it comes to Data & AI (with zero hype).

      May 27, 2024

      Question startup culture before accepting a data-to-AI role

      Eight questions that prospective data-to-AI employees should ask about a startup’s work and data culture.

      May 20, 2024

      Probing the People aspects of an early-stage startup

      Ten questions that prospective employees should ask about a startup’s team, especially for data-centric roles.

      May 13, 2024

      Business questions to ask before taking a startup data role

      Fourteen questions that prospective employees should ask about a startup’s business model and product, especially for data-focused roles.

      May 6, 2024

      Mentorship and the art of actionable advice

      Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.

      April 29, 2024

      Assessing a startup's data-to-AI health

      Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.

      April 22, 2024

      My experience as a Data Tech Lead with Work on Climate

      The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting & fractional work.

      April 8, 2024

      Two types of startup data problems

      Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they’re likely to face.

      March 4, 2024

      Avoiding AI complexity: First, write no code

      Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.

      February 26, 2024

      Building your startup's minimum viable data stack

      First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.

      February 19, 2024

      Substance over titles: Your first data hire may be a data scientist

      Advice for hiring a startup’s first data person: match skills to business needs, consider contractors, and get help from data people.

      February 5, 2024
      Text and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwise  | Powered by Hugo & PaperMod
      \ No newline at end of file diff --git a/tags/startups/index.xml b/tags/startups/index.xml index 09c00fac3..54bbd8e0b 100644 --- a/tags/startups/index.xml +++ b/tags/startups/index.xml @@ -1 +1 @@ -Startups on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/startups/Recent content in Startups on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 18 Nov 2024 11:12:27 +1000Don't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.Juggling delivery, admin, and leads: Monthly biz recaphttps://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Mon, 02 Sep 2024 02:30:00 +0000https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp; politics.Giving up on the minimum viable data stackhttps://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Mon, 19 Aug 2024 03:30:00 +0000https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.First year lessons from a solo expertise biz in Data & AIhttps://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Mon, 05 Aug 2024 08:45:00 +0000https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Reflections on building a solo expertise business in Data &amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Exploring an AI product idea with the latest ChatGPT, Claude, and Geminihttps://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Mon, 08 Jul 2024 02:45:00 +0000https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.Stay alert! Security is everyone's responsibilityhttps://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Mon, 01 Jul 2024 02:00:00 +0000https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.Five team-building mistakes, according to Patty McCordhttps://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Wed, 26 Jun 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Takeaways from an interview with Patty McCord on The Startup Podcast.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.How to avoid startups with poor development processeshttps://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Mon, 03 Jun 2024 02:45:00 +0000https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Question startup culture before accepting a data-to-AI rolehttps://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Mon, 20 May 2024 02:25:00 +0000https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Eight questions that prospective data-to-AI employees should ask about a startup&rsquo;s work and data culture.Probing the People aspects of an early-stage startuphttps://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Mon, 13 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Ten questions that prospective employees should ask about a startup&rsquo;s team, especially for data-centric roles.Business questions to ask before taking a startup data rolehttps://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Mon, 06 May 2024 04:30:00 +0000https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Fourteen questions that prospective employees should ask about a startup&rsquo;s business model and product, especially for data-focused roles.Mentorship and the art of actionable advicehttps://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Mon, 29 Apr 2024 06:30:00 +0000https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.My experience as a Data Tech Lead with Work on Climatehttps://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp; fractional work.Two types of startup data problemshttps://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Mon, 04 Mar 2024 02:00:00 +0000https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&rsquo;re likely to face.Avoiding AI complexity: First, write no codehttps://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Mon, 26 Feb 2024 01:45:00 +0000https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.Building your startup's minimum viable data stackhttps://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/Mon, 19 Feb 2024 00:00:00 +0000https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.Substance over titles: Your first data hire may be a data scientisthttps://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Mon, 05 Feb 2024 02:45:00 +0000https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Advice for hiring a startup&rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people. \ No newline at end of file +Startups on Yanir Seroussi | Data & AI for Startup Impacthttps://yanirseroussi.com/tags/startups/Recent content in Startups on Yanir Seroussi | Data & AI for Startup ImpactHugo -- 0.139.2en-auText and figures licensed under CC BY-NC-ND 4.0 by Yanir Seroussi, except where noted otherwiseMon, 25 Nov 2024 13:32:00 +1000Data moats, stealthy AI, and more: AI Con 2024 noteshttps://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Mon, 25 Nov 2024 02:30:00 +0000https://yanirseroussi.com/2024/11/25/data-moats-stealthy-ai-and-more-ai-con-2024-notes/Themes from AI Con 2024: data moats, stealthy AI use, Chatty&rsquo;s UX revolution, and enduring fundamentalsDon't build AI, build with AIhttps://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Mon, 18 Nov 2024 01:00:00 +0000https://yanirseroussi.com/2024/11/18/dont-build-ai-build-with-ai/Building AI is hard and expensive. For most companies, the path to AI success is building with third-party AI interns and cheap AI cogs.Juggling delivery, admin, and leads: Monthly biz recaphttps://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Mon, 02 Sep 2024 02:30:00 +0000https://yanirseroussi.com/2024/09/02/juggling-delivery-admin-and-leads-monthly-biz-recap/Highlights and lessons from my solo expertise biz, including value pricing, fractional cash flow, and distractions from admin &amp; politics.Giving up on the minimum viable data stackhttps://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Mon, 19 Aug 2024 03:30:00 +0000https://yanirseroussi.com/2024/08/19/giving-up-on-the-minimum-viable-data-stack/Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.First year lessons from a solo expertise biz in Data & AIhttps://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Mon, 05 Aug 2024 08:45:00 +0000https://yanirseroussi.com/2024/08/05/first-year-lessons-from-a-solo-expertise-biz-in-data-and-ai/Reflections on building a solo expertise business in Data &amp; AI, focusing on climate tech startups. Lessons learned from the first year of transition.Your first Data-to-AI hire: Run a lovable processhttps://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Mon, 22 Jul 2024 01:00:00 +0000https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/Video and key points from the second part of a webinar on a startup&rsquo;s first data hire, covering tips for defining the role and running the process.Learn about Dataland to avoid expensive hiring mistakeshttps://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Mon, 15 Jul 2024 05:30:00 +0000https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/Video and key points from the first part of a webinar on a startup&rsquo;s first data hire, covering data &amp; AI definitions and high-level recommendations.Exploring an AI product idea with the latest ChatGPT, Claude, and Geminihttps://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Mon, 08 Jul 2024 02:45:00 +0000https://yanirseroussi.com/2024/07/08/exploring-an-ai-product-idea-with-the-latest-chatgpt-claude-and-gemini/Asking identical questions about my MagicGrantMaker idea yielded near-identical responses from the top chatbot models.Stay alert! Security is everyone's responsibilityhttps://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Mon, 01 Jul 2024 02:00:00 +0000https://yanirseroussi.com/2024/07/01/stay-alert-security-is-everyones-responsibility/Questions to assess the security posture of a startup, focusing on basic hygiene and handling of sensitive data.Five team-building mistakes, according to Patty McCordhttps://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Wed, 26 Jun 2024 00:00:00 +0000https://yanirseroussi.com/til/2024/06/26/five-team-building-mistakes-according-to-patty-mccord/Takeaways from an interview with Patty McCord on The Startup Podcast.Is your tech stack ready for data-intensive applications?https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Mon, 24 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/24/is-your-tech-stack-ready-for-data-intensive-applications/Questions to assess the quality of tech stacks and lifecycles, with a focus on artificial intelligence, machine learning, and analytics.AI ain't gonna save you from bad datahttps://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Mon, 17 Jun 2024 02:00:00 +0000https://yanirseroussi.com/2024/06/17/ai-aint-gonna-save-you-from-bad-data/Since we&rsquo;re far from a utopia where data issues are fully handled by AI, this post presents six questions humans can use to assess data projects.Startup data health starts with healthy event trackinghttps://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Mon, 10 Jun 2024 04:00:00 +0000https://yanirseroussi.com/2024/06/10/startup-data-health-starts-with-healthy-event-tracking/Expanding on the startup health check question of tracking Kukuyeva&rsquo;s five business aspects as wide events.How to avoid startups with poor development processeshttps://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Mon, 03 Jun 2024 02:45:00 +0000https://yanirseroussi.com/2024/06/03/how-to-avoid-startups-with-poor-development-processes/Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.Plumbing, Decisions, and Automation: De-hyping Data & AIhttps://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Mon, 27 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/27/plumbing-decisions-and-automation-de-hyping-data-and-ai/Three essential questions to understand where an organisation stands when it comes to Data &amp; AI (with zero hype).Question startup culture before accepting a data-to-AI rolehttps://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Mon, 20 May 2024 02:25:00 +0000https://yanirseroussi.com/2024/05/20/question-startup-culture-before-accepting-a-data-to-ai-role/Eight questions that prospective data-to-AI employees should ask about a startup&rsquo;s work and data culture.Probing the People aspects of an early-stage startuphttps://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Mon, 13 May 2024 02:00:00 +0000https://yanirseroussi.com/2024/05/13/probing-the-people-aspects-of-an-early-stage-startup/Ten questions that prospective employees should ask about a startup&rsquo;s team, especially for data-centric roles.Business questions to ask before taking a startup data rolehttps://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Mon, 06 May 2024 04:30:00 +0000https://yanirseroussi.com/2024/05/06/business-questions-to-ask-before-taking-a-startup-data-role/Fourteen questions that prospective employees should ask about a startup&rsquo;s business model and product, especially for data-focused roles.Mentorship and the art of actionable advicehttps://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Mon, 29 Apr 2024 06:30:00 +0000https://yanirseroussi.com/2024/04/29/mentorship-and-the-art-of-actionable-advice/Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.Assessing a startup's data-to-AI healthhttps://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Mon, 22 Apr 2024 06:00:00 +0000https://yanirseroussi.com/2024/04/22/assessing-a-startups-data-to-ai-health/Reviewing the areas that should be assessed to determine a startup&rsquo;s opportunities and challenges on the data/AI/ML front.My experience as a Data Tech Lead with Work on Climatehttps://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/Mon, 08 Apr 2024 02:00:00 +0000https://yanirseroussi.com/2024/04/08/my-experience-as-a-data-tech-lead-with-work-on-climate/The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting &amp; fractional work.Two types of startup data problemshttps://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Mon, 04 Mar 2024 02:00:00 +0000https://yanirseroussi.com/2024/03/04/two-types-of-startup-data-problems/Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they&rsquo;re likely to face.Avoiding AI complexity: First, write no codehttps://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Mon, 26 Feb 2024 01:45:00 +0000https://yanirseroussi.com/2024/02/26/avoiding-ai-complexity-first-write-no-code/Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.Building your startup's minimum viable data stackhttps://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/Mon, 19 Feb 2024 00:00:00 +0000https://yanirseroussi.com/2024/02/19/building-your-startups-minimum-viable-data-stack/First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.Substance over titles: Your first data hire may be a data scientisthttps://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Mon, 05 Feb 2024 02:45:00 +0000https://yanirseroussi.com/2024/02/05/substance-over-titles-your-first-data-hire-may-be-a-data-scientist/Advice for hiring a startup&rsquo;s first data person: match skills to business needs, consider contractors, and get help from data people. \ No newline at end of file