MLOps Build or Buy - Startup vs. Enterprise Perspectives

MLOps Build or Buy - Startup vs. Enterprise Perspectives

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[] Genesis of Slack's recommender system framework

7 of 29

7 of 29

[] Genesis of Slack's recommender system framework

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MLOps Build or Buy - Startup vs. Enterprise Perspectives

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  1. 1 [] Aaron and Katrina's preferred coffee
  2. 2 [] Recommender and System and Jake
  3. 3 [] Takeaways
  4. 4 [] Introduction to Aaron Maurer & Katrina Ni
  5. 5 [] Aaron Maurer & Katrina Ni's Recommend API blog post
  6. 6 [] 10-pole machine learning use case and Rex's use case
  7. 7 [] Genesis of Slack's recommender system framework
  8. 8 [] The Special Sauce
  9. 9 [] Speaking the same language
  10. 10 [] Use case sources
  11. 11 [] Slack's feature engineering
  12. 12 [] Main CTR models
  13. 13 [] Data privacy
  14. 14 [] Slack's recommendations problem
  15. 15 [] Fine-tuning the generative models
  16. 16 [] Cold start problem
  17. 17 [] Underrated
  18. 18 [] Baseline
  19. 19 [] Cold sore space
  20. 20 [] LLMs in Production Conference Part 2 announcement!
  21. 21 [] Data scientists transition to ML
  22. 22 [] Unicorns do exist!
  23. 23 [] Diversity of skill set
  24. 24 [] The future of ML
  25. 25 [] Model Serving
  26. 26 [] MLOps Maturity level
  27. 27 [] AWS Analogy
  28. 28 [] Primary difficulty
  29. 29 [] Wrap up

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