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Machine learning at small organizations
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Daniel Whitenack and Chris Benson

· 50 Minutes

PodcastPractical AI

Machine learning at small organizations

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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

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Original source

This story was published by Practical AI and written by Daniel Whitenack and Chris Benson. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on share.transistor.fm

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