Cloud Directions, MLOps and Production Data Science

Cloud Directions, MLOps and Production Data Science

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- Aqueduct Uswer Interviews

13 of 14

13 of 14

- Aqueduct Uswer Interviews

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Cloud Directions, MLOps and Production Data Science

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  1. 1 - Introduction
  2. 2 - Outline
  3. 3 - Model Development
  4. 4 - Training Pipelines
  5. 5 - Inference
  6. 6 - What’s the Data?
  7. 7 - Data is Life! The Virtuous Cycle
  8. 8 - Next: 3 Key Challenges in MLOps
  9. 9 - Takeawys: The ML Lifecycle
  10. 10 - Cloud Programming & Serverless Computing
  11. 11 - The Big Question
  12. 12 - A Taste of Tech Transfer: the RISE of Aqueduct
  13. 13 - Aqueduct Uswer Interviews
  14. 14 - Takeaways

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