Machine learning at small organizations
· 50 min · Episode 207
Episode 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.
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:
• storytellers.ai • Trello
Upcoming Events:
• Register for upcoming webinars here!
Links in the notes 13
- https://changelog.fm
- https://www.linkedin.com/in/kirsten-lum
- https://x.com/machsci
- https://chrisbenson.com
- https://github.com/chrisbenson
- https://www.linkedin.com/in/chrisbenson
- https://x.com/chrisbenson
- https://www.datadan.io/
- https://github.com/dwhitena
- https://x.com/dwhitena
- https://storytellers.ai/
- https://trello.com
- https://practicalai.fm/webinars
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