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Wednesday, October 28 • 12:00 - 12:50
Productionizing ML with ML Ops and Cloud AI - Kaz Sato, Google

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The hardest part of ML adoption in enterprises is Productinization. As we see in recent discussions around ML Ops, there is a big gap between Data Scientists' PoC code and production ML development and operation with Ops team. Such as, preparing manageable ML dev environment, building a scalable ML serving infrastructure, setting up a ML pipeline for continuous training, and automated validation of data and model. In this session, we will learn how to leverage various Google's ML/AI offerings such as TensorFlow Extension (TFX), TensorFlow Enterprise, Cloud AI Platform Notebooks, Training, Prediction, and Pipelines for productionizing your ML service with the ML Ops best practices.

avatar for Kaz Sato

Kaz Sato

Developer Advocate, Google
Kaz Sato is Staff Developer Advocate at Google Cloud for machine learning and AI products, such as TensorFlow, Cloud AI and BigQuery. Kaz has been invited as a speaker at major events including Google Cloud Next, Google I/O, NVIDIA GTC and etc. Also, authoring many GCP blog posts... Read More →

Wednesday October 28, 2020 12:00 - 12:50 GMT
AI/ML/DL Theater