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Towards stability and robustness

Podcast |: Practical AI: Machine Learning, Data Science
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Data Science,; Interview,; Machine Learning,; Tech News,; Technology
Categories Via RSS |: Software How-To,; Tech News,; Technology
Publication Date |: Jul 20, 2021
Episode Duration |: 00:48:32

Description
Content Encoded

9 out of 10 AI projects don’t end up creating value in production. Why? At least partly because these projects utilize unstable models and drifting data. In this episode, Roey from BeyondMinds gives us some insights on how to filter garbage input, detect risky output, and generally develop more robust AI systems.

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Featuring:

Roey Mechrez – Twitter, LinkedIn
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Something missing or broken? ai-141.md">PRs welcome!

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