Posted On: Jun 10, 2022

Amazon SageMaker Canvas accelerates onboarding with new interactive product tours and sample datasets for different use cases. Amazon SageMaker Canvas is a visual point-and-click interface that enables business analysts to generate accurate machine learning (ML) models for insights and predictions on their own — without requiring any machine learning experience or having to write a single line of code.

Starting today, Amazon SageMaker Canvas introduces interactive product tours to help you get started quickly and easily. When you log into SageMaker Canvas, you can try the product tours guiding you with each step of the ML journey including importing datasets, building, training, and analyzing ML models, and generating predictions. The product tours are presented through visual and easy-to-follow steps. You can revisit the product tours at any time, by clicking on the help button on the left navigation bar inside the SageMaker Canvas application.

Additionally, Amazon SageMaker Canvas now provides sample datasets that help you get started with a variety of use cases and business problems without writing any code. Datasets cover use cases such as predicting house prices, sales forecasting, loan default prediction, predicting re-admission for diabetic patients, predicting machine failures to streamline predictive maintenance, and supply chain predictions for transportation and logistics. You can leverage these datasets to get started with SageMaker Canvas, and import your own data to solve your business problems.

Lastly, provisioning and management of ML models with SageMaker Canvas is now made simple through AWS CloudFormation templates. You can use these templates for quick and reliable provisioning of the SageMaker Canvas application.

These new capabilities are now available in all AWS regions where Amazon SageMaker Canvas is supported. To learn more and get started, please refer to the Amazon SageMaker Canvas documentation and the product page.