diff --git a/content/posts/2024-09-09-data-ai-humans-and-climate-carving-a-consulting-niche/data-dojo-podcast-yanir-seroussi-cover.webp b/content/posts/2024-09-09-data-ai-humans-and-climate-carving-a-consulting-niche/data-dojo-podcast-yanir-seroussi-cover.webp new file mode 100644 index 000000000..f64b39fde Binary files /dev/null and b/content/posts/2024-09-09-data-ai-humans-and-climate-carving-a-consulting-niche/data-dojo-podcast-yanir-seroussi-cover.webp differ diff --git a/content/posts/2024-09-09-data-ai-humans-and-climate-carving-a-consulting-niche/index.md b/content/posts/2024-09-09-data-ai-humans-and-climate-carving-a-consulting-niche/index.md new file mode 100644 index 000000000..265a85d90 --- /dev/null +++ b/content/posts/2024-09-09-data-ai-humans-and-climate-carving-a-consulting-niche/index.md @@ -0,0 +1,60 @@ +--- +title: 'Data, AI, humans, and climate: Carving a consulting niche' +author: Yanir Seroussi +type: post +date: 2024-09-09T00:30:00+00:00 +url: /2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/ +cover: + relative: true + image: data-dojo-podcast-yanir-seroussi-cover.webp + alt: cover image of the Data Dojo podcast episode with Yanir Seroussi +summary: 'Podcast chat on the reality of Data & AI and my consulting focus: Helping climate & nature tech startups ship data-intensive solutions.' +tags: + - artificial intelligence + - business + - career + - consulting + - data science + - environment + - video +--- +I recently joined [Adam Massey](https://www.linkedin.com/in/amasseyadam/) on the Data Dojo podcast to chat about my career journey and consulting focus. +You can check it out on YouTube: + +

+ {{< youtube 6a-xYwKzCFA >}} +

+ +## Episode summary + +AI-generated summaries are getting better, as is the ease of generating them. For the following summary, I: (1) expanded the transcript on YouTube; (2) copied the entire text from the YouTube page (not just the transcript); and (3) threw it into Google AI Studio (with Gemini 1.5 Pro). I didn't even bother prompting the model – it figured out I wanted a summary by itself. + +**Key Takeaways:** + +* **Bridging the Gap:** Startups often struggle to bridge the gap between data science theory and practical implementation. +* **Managing Expectations:** Over-excitement about AI's potential often leads to disappointment. Realistic goals and iterative project scoping are crucial. +* **Data Quality:** As always, data quality remains paramount. Startups must ensure their ambitions align with available data. +* **Communication is Key:** Success hinges on effective communication with stakeholders, both internally and externally. +* **Niche Expertise:** Focusing on a niche, like climate tech, helps build a strong brand and attract relevant clients. +* **AI's Evolving Landscape:** AI tools are rapidly evolving, demanding adaptability and a willingness to learn new technologies. +* **Human Skills Remain Essential:** Technical expertise alone isn't enough. Strong communication, business acumen, and stakeholder management remain crucial. +* **Future of AI:** While predicting the future is difficult, AI will likely continue to automate tasks and transform industries in unforeseen ways. + +**Actionable Insights:** + +* For data professionals: + * Stay updated on new tools and technologies. + * Focus on communication and business skills. + * Learn to effectively manage stakeholder expectations. +* For business owners: + * Carefully assess your data and AI readiness. + * Start with small, achievable projects. + * Partner with experts to bridge the skills gap. + +**Overall:** + +The episode offers valuable insights into the challenges and opportunities presented by AI, particularly for startups in the climate and nature tech space. It emphasises the importance of a balanced approach, combining technical expertise with human skills and a focus on delivering tangible business value. + +--- + +**Note to self:** I should speak slower in complete sentences. I definitely write better than I speak (especially off the cuff), but that's a good reason to keep practising. 😉 diff --git a/content/presentations/index.md b/content/presentations/index.md index 3e3e03674..797bd8efc 100644 --- a/content/presentations/index.md +++ b/content/presentations/index.md @@ -17,6 +17,7 @@ disableShare: true --- Talks and podcast appearances, saved here for future reference and for public benefit. + * [Podcast interview on my consulting focus and the reality of Data & AI projects](https://www.youtube.com/watch?v=6a-xYwKzCFA) with [Adam Massey](https://www.linkedin.com/in/amasseyadam/) ([summary post](https://yanirseroussi.com/2024/09/09/data-ai-humans-and-climate-carving-a-consulting-niche/)) * [Your first Data-to-AI hire](https://yanirseroussi.com/talks/first-data-hire/#/) (presented to [Climate Salad members](https://members.climatesalad.com/event/receSv3NcyUVs4Z2o)); see posts with practice recordings: [part 1](https://yanirseroussi.com/2024/07/15/learn-about-dataland-to-avoid-expensive-hiring-mistakes/) & [part 2](https://yanirseroussi.com/2024/07/22/your-first-data-to-ai-hire-run-a-lovable-process/)) * [Podcast interview on my career path](https://open.spotify.com/episode/1aXcalabXgCgXwSF1LAHyr) with [Eli Gündüz](https://www.linkedin.com/in/eligunduz/) of [Careersy Coaching](https://www.careersycoaching.com/) ([summary post](https://yanirseroussi.com/2024/08/12/keep-learning-your-career-is-never-truly-done/)) * [Lessons from reluctant data engineering](https://docs.google.com/presentation/d/100GiDkp3UKfQtWtxZOF4CaJWTuSYtkEYxkI0_INdqq8/edit) (presented at [DataEngBytes](https://dataengconf.com.au/) Brisbane 2023; see [video](https://www.youtube.com/watch?v=NE6e7Xx7OLQ) and [post](https://yanirseroussi.com/2023/10/25/lessons-from-reluctant-data-engineering/))