Amazon SageMaker JumpStart provides pre-trained, open-source models for a wide range of problem types to help you get started with machine learning (ML). JumpStart also provides solution templates that set up infrastructure for common use cases, and executable example notebooks for ML with Amazon SageMaker.
As a business user, you get to do the following with JumpStart solutions:

Explore the solutions and evaluate which are a good match for your business needs.
Launch solutions with a single click in Amazon SageMaker Studio. This launches an AWS CloudFormation template to create the required resources.
Modify the solution to meet your needs with access to underlying notebook and model assets.
Delete the acquired resources once done.

This post focuses on the five ML solutions that were recently added to address five different business challenges. As of this writing, JumpStart offers 23 business solutions varying from detecting

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