Introduction to MLOps - Bringing DevOps and Automation to Machine Learning (Cantonese)

MLOps topic is a common ask from our customers who want to productionize the ML workloads. This sessions will cover what is MLOps, why it is important, and how it can help organizations reach their full AI potential. Then we will take a deeper look at the ML lifecycle, the problems related to productionizing ML models and how MLOps can help. We will also show how to automate ML workflow using SageMaker to implement successful MLOps solutions.

Hei Chow, Solutions Architect, AWS

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How Utilities can Leverage AI/ML for Customer Satisfaction Featuring The Hong Kong and China Gas Company (Cantonese)
How Utilities can Leverage AI/ML for Customer Satisfaction Featuring The Hong Kong and China Gas Company (Cantonese)

Learn about the AI projects run by Towngas including installation intelligence (product recommendation), sm...

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03 / ML Ops
03 / ML Ops