Machine learning at small organizations (Practical AI #207)
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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Chapters
- 0:00 Opener
- 0:37 Welcome to Practical AI
- 1:12 Kirsten Lum
- 5:44 Selling short in data science
- 8:02 FUD from a management POV
- 13:44 Data science is like cooking
- 17:32 Sponsor: The Changelog
- 19:16 What to focus on when you're new
- 22:33 Managing flexibility in a small company
- 26:26 Navigating people in a small business
- 29:17 Putting the practical in PracticalAI
- 35:54 How to approach non data-centric people
- 39:26 Advantages of small ML orgs over big orgs
- 42:37 Mentoring people the right way
- 46:00 Looking into the future
- 49:04 Outro
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How long is this episode of Changelog Master Feed?
This episode is 49 minutes long.
When was this Changelog Master Feed episode published?
This episode was published on January 17, 2023.
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Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.
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