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    Day 1


  • End-to-end MLOps platform for 6 different ML frameworks and custom accelerators to transform your ML use cases from concept to production.
  • The platform offers 3 steps of MLOps starting with the “Dev” stage where we unit test the ML modules required in your use case.
  • This is followed by the “Test” stage where we build ML pipelines with Kubeflow and Airflow.
  • Finally the “Prod” stage deploys the ML components into production with model monitoring and CI/CD.
  • The platform is supported by code in GitHub with examples.

Associated Speakers:

Chanchal Chatterjee

Artificial Intelligence Leader, Google Cloud


Associated Talks:

04:10PM - Day 1

View Presentation: From Concept to Production – MLOps for Your Entire ML Journey

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