BigQuery as a Feature Store for AI/ML Applications

BigQuery as a Feature Store for AI/ML Applications

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[] Handling model latency issues

15 of 22

15 of 22

[] Handling model latency issues

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BigQuery as a Feature Store for AI/ML Applications

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  1. 1 [] Nicolas' preferred beverage
  2. 2 [] Takeaways
  3. 3 [] Please like, share, leave a review, and subscribe to our MLOps channels!
  4. 4 [] BigQuery end goal
  5. 5 [] BigQuery pain points
  6. 6 [] BigQuery vs Feature Stores
  7. 7 [] Freelancing Rate Matching issues
  8. 8 [] Post-implementation pain points
  9. 9 [] Feature Request Process
  10. 10 [] Feature Naming Consistency
  11. 11 [] Feature Usage Analysis
  12. 12 [] Anomaly detection in data
  13. 13 [] Continuous Model Retraining Process
  14. 14 [] Model misbehavior detection
  15. 15 [] Handling model latency issues
  16. 16 [] Accuracy vs The Business
  17. 17 [] BigQuery cist-benefit analysis
  18. 18 [] Feature stores cost savings
  19. 19 [] When not to use BigQuery
  20. 20 [] Real-time vs Batch Processing
  21. 21 [] Register for the Data Engineering for AI/ML Conference now!
  22. 22 [] Wrap up

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