Improving ML Models with Access to More Data: Using SageMaker Data Wrangler to Integrate Multiple Data Sources Together and Power Innovation

Data preparation is a critical step in the end-to-end machine learning process. Amazon SageMaker Data Wrangler is purpose-built for ML-specific data preparation workloads. In this session we discuss a new capability in Data Wrangler which allows users to quickly and easily connect to their data in Snowflake. This new capability resulted from an increased collaboration with Snowflake to help SageMaker users easily access and prepare their data from Data Wrangler and further expand the set of use cases they develop ML models for.