Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker
AWS Machine Learning
OCTOBER 20, 2023
Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards. Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services.
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