Obtaining New Insights on Model Behavior with Fiddler - MLOps Meetup #110

Obtaining New Insights on Model Behavior with Fiddler - MLOps Meetup #110

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[] Introduction to Danny Brock

1 of 30

1 of 30

[] Introduction to Danny Brock

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Obtaining New Insights on Model Behavior with Fiddler - MLOps Meetup #110

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  1. 1 [] Introduction to Danny Brock
  2. 2 [] We're streaming live on Gradual and LinkedIn!
  3. 3 [] Fiddler AI Overview
  4. 4 [] AI is a critical part of modern business
  5. 5 [] AI touches your entire organization
  6. 6 [] The Fiddler mission
  7. 7 [] How can Fiddler make a difference?
  8. 8 [] Model Performance Management
  9. 9 [] The Comprehensive Solution for the ML Lifecycle
  10. 10 [] The Fiddler Value
  11. 11 [] Frequently heard challenges
  12. 12 [] Fiddler drives three positive business outcomes
  13. 13 [] Under the hood
  14. 14 [] A deep and versatile tech stack
  15. 15 [] Seamless UX
  16. 16 [] Getting started with Fiddler
  17. 17 [] Demo
  18. 18 [] Build trust into AI
  19. 19 [] Simple monitoring quick start
  20. 20 [] Fiddler simple monitoring quick start guide
  21. 21 [] Recap of simple monitoring
  22. 22 [] Step 1: Create a new project in the environment
  23. 23 [] Step 2: Upload the baseline data set into the project
  24. 24 [] Step 3: Add information about the model
  25. 25 [] Backfill ground truth and monitor in a synchronous way
  26. 26 [] Step 4: Publish production events
  27. 27 [] Call publish event batch
  28. 28 [] Not found error
  29. 29 [] Run without storing data at Fiddler
  30. 30 [] Integration support of Fiddler

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