Practical decision-making using no-code ML

Organizations everywhere are using machine learning (ML) to accurately predict outcomes and make faster business decisions. To help more people use ML, Amazon SageMaker Canvas gives business analysts a no-code interface to make ML predictions on their own without requiring any ML experience. In this session, you will learn how to use SageMaker Canvas for top-use cases across sales, marketing, finance, and operations. We step through how to access and combine data from a variety of sources, automatically clean data, build ML models to generate predictions with a single click, and share models with others in your organization to improve productivity.