At re:Invent 2021, AWS announced several new Amazon SageMaker features that make machine learning (ML) accessible to new types of users while continuing to increase performance and reduce cost for data scientists and ML experts. In this post, we provide a summary of these announcements, along with resources for you to get more details on each one.
ML for all
As ML adoption grows, ML skills are in higher demand. To help meet this growing demand, AWS is expanding the reach of ML beyond data scientists and developers to the broader business user community, including line-of-business analysts supporting finance, marketing, operations, and HR teams. AWS announced that Amazon SageMaker Canvas is expanding access to ML by providing business analysts with a visual point-and-click interface that lets them generate accurate ML predictions on their own—without requiring any ML experience or having to write a single line of code. Get started on

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