Data Governance and AI - Challenges and Opportunities in MLOps

Data Governance and AI - Challenges and Opportunities in MLOps

MLOps.community via YouTube Direct link

[] The Read-off Segment

4 of 20

4 of 20

[] The Read-off Segment

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Data Governance and AI - Challenges and Opportunities in MLOps

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  1. 1 [] AI in Production Conference
  2. 2 [] Alexandra's preferred coffee
  3. 3 [] Takeaways
  4. 4 [] The Read-off Segment
  5. 5 [] Travelling and settling
  6. 6 [] Alexandra's background
  7. 7 [] Contributions to Alzheimer's disease
  8. 8 [] ML in research examples
  9. 9 [] Transitioning to Software Engineering
  10. 10 [] Difference between building the thing right and building the right thing
  11. 11 [] Efficient Workflow Streamlining
  12. 12 [] Legacy companies struggle to stay current and innovate
  13. 13 [32:49 - ] Zilliz Ad
  14. 14 [] Legacy companies struggle
  15. 15 [] Preparing to manage the Internet, enable others, and recommend tools
  16. 16 [] The Project team revamped the model factory code significantly
  17. 17 [] Challenges with AI solutions, and specialized chatbots
  18. 18 [] Need rubric, coding, and flashy title
  19. 19 [] Delivering projects faster by modernizing tools
  20. 20 [] Wrap up

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