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Mastering the Rare Art of ML Deployment

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Manage episode 398458029 series 3279398
Content provided by Domino Data Lab. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Domino Data Lab or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
What’s the biggest problem in AI today? It’s that far too few projects make it to deployment. In this episode, Eric Siegel, founder of the long-running Machine Learning Week conference and creator of the first (and perhaps only) ML music video, tells us about his new book, The AI Playbook and the bizML framework for aligning stakeholders and maximizing the chance for deployment and impact.
Join us as we discuss:
  • Causes behind the high rates of AI project failure
  • Critical project steps for ensuring deployment
  • Humor as a means to bridge the gap in AI understanding

And check out:

  continue reading

96 episodes

Artwork
iconShare
 
Manage episode 398458029 series 3279398
Content provided by Domino Data Lab. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Domino Data Lab or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
What’s the biggest problem in AI today? It’s that far too few projects make it to deployment. In this episode, Eric Siegel, founder of the long-running Machine Learning Week conference and creator of the first (and perhaps only) ML music video, tells us about his new book, The AI Playbook and the bizML framework for aligning stakeholders and maximizing the chance for deployment and impact.
Join us as we discuss:
  • Causes behind the high rates of AI project failure
  • Critical project steps for ensuring deployment
  • Humor as a means to bridge the gap in AI understanding

And check out:

  continue reading

96 episodes

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