The Future of Feature Stores and Platforms - MLOps Podcast 186

The Future of Feature Stores and Platforms - MLOps Podcast 186

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[] Introduction to Mike

1 of 19

1 of 19

[] Introduction to Mike

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The Future of Feature Stores and Platforms - MLOps Podcast 186

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  1. 1 [] Introduction to Mike
  2. 2 [] Takeaways
  3. 3 [] Features of the new paradigm of ML and LLMs
  4. 4 [] D. Sculley's papers
  5. 5 [] The birth of Feature Store
  6. 6 [] Data Pipeline Challenges Addressed
  7. 7 [] Operationalizing
  8. 8 [] Feature Store Challenges
  9. 9 [] Z access
  10. 10 [] Addressing Technical Debt Challenges
  11. 11 [] Real-Time vs. Batch Processing
  12. 12 [] Feature Store Evolution: Apache Iceberg
  13. 13 [] Feature Platform: Dedicated Query Engine
  14. 14 [] The bottleneck
  15. 15 [] LLMs, Feature Stores Overview
  16. 16 [] Vector databases
  17. 17 [] Workflow Templating Efficiency
  18. 18 [] Gamification suggestion for Tecton
  19. 19 [] Wrap up

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