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New post: 'Data, AI, humans, and climate: Carving a consulting niche'
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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: | ||
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<p> | ||
{{< youtube 6a-xYwKzCFA >}} | ||
</p> | ||
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## Episode summary | ||
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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. | ||
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**Key Takeaways:** | ||
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* **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. | ||
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**Actionable Insights:** | ||
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* 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. | ||
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**Overall:** | ||
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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. | ||
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**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. 😉 |
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