Extending AI: From Industry to Innovation

Extending AI: From Industry to Innovation

MLOps.community via YouTube Direct link

[] Evaluation challenges in industries

16 of 21

16 of 21

[] Evaluation challenges in industries

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Extending AI: From Industry to Innovation

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  1. 1 [] Sophia & David's preferred coffee
  2. 2 [] Takeaways
  3. 3 [] Please like, share, leave a review, and subscribe to our MLOps channels!
  4. 4 [] Hands on MLOps and AI
  5. 5 [] Next-Gen MLOps Challenges
  6. 6 [] Data scientists adopting software
  7. 7 [] Taking a different approach
  8. 8 [] Zombie Model Management
  9. 9 [] Optimizing ML Revenue Allocation
  10. 10 [] Other use cases - Lockout - Tagout procedure
  11. 11 [] Vision Model Integration Challenges
  12. 12 [] Costly errors in predictive maintenance
  13. 13 [] Integration of Gen AI
  14. 14 [] Governance challenges in AI
  15. 15 [] Governance in Gen AI vs Governance with Traditional ML
  16. 16 [] Evaluation challenges in industries
  17. 17 [] Interface frustration with Chatbots
  18. 18 [] Implementing AI Agent's success
  19. 19 [] Usability challenges in interfaces
  20. 20 [] Themes in High-Performing AI Teams
  21. 21 [] Wrap up

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