Snowflake ML represents Snowflake's comprehensive suite of capabilities designed to facilitate end-to-end machine learning workflows directly within its data cloud. It aims to streamline the machine learning lifecycle by providing tools for data preparation, feature engineering, model training, and deployment, all within a unified platform. Key components include Snowflake Notebooks for model development, the Snowflake Feature Store for managing features, and the Snowflake Model Registry for model deployment and governance. By integrating these tools, Snowflake ML enables organizations to leverage their data for machine learning without the complexities of data movement and infrastructure management, promoting efficiency and accelerating the time to value for AI initiatives.