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Practical AI
Trailer
Bonus
Episode 207
Season 1
Machine learning at small organizations
Why is ML is so poorly adopted in small organizations (hint: it’s not because they don’t have enough data)? In this episode, Kirsten Lum from Storytellers shares the patterns she has seen in small orgs that lead to a successful ML practice. We discuss how the job of a ML Engineer/Data Scientist is different in that environment and how end-to-end project management is key to adoption.
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Sponsors:
- The Changelog – Conversations with the hackers, leaders, and innovators of the software world
Featuring:
- Kirsten Lum – LinkedIn, X
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
Something missing or broken? PRs welcome!
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Chapters
- Opener
- Welcome to Practical AI
- Kirsten Lum
- Selling short in data science
- FUD from a management POV
- Data science is like cooking
- Sponsor: The Changelog
- What to focus on when you're new
- Managing flexibility in a small company
- Navigating people in a small business
- Putting the practical in PracticalAI
- How to approach non data-centric people
- Advantages of small ML orgs over big orgs
- Mentoring people the right way
- Looking into the future
- Outro