Introducing Amazon SageMaker Canvas - a visual, no-code interface to build accurate machine learning models

Amazon SageMaker Canvas is a new capability of Amazon SageMaker that enables business analysts to create accurate machine learning (ML) models and generate predictions using a visual, point-and-click interface, no coding required.

Amazon SageMaker Canvas provides an intuitive user interface to quickly connect to and access data from disparate sources, and prepare data for building ML models. SageMaker Canvas leverages powerful AutoML technology from Amazon SageMaker, which automatically trains and build models based on your dataset. This allows SageMaker Canvas to identify the best model based on your dataset so you can generate single or bulk predictions. SageMaker Canvas is integrated with SageMaker Studio, making it easy for business analysts to share models with data scientists. SageMaker Canvas helps analysts within an enterprise—regardless of their technical skill—to create accurate machine learning models from disparate datasets, and collaborate more effectively with data scientists. 

Amazon SageMaker Canvas is now available in the US East (Ohio), US East (N. Virginia), US West (Oregon), Europe (Frankfurt), Europe (Ireland) AWS Regions. To learn more, read the blog post here and refer to the documentation to get started.