Understanding a feature store as a data management tool for machine learning, which allows users to share features and create robust ML pipelines, is important for data scientists and engineers.

Feature stores helps MLOps with better collaboration, faster development and deployment of models in production, better model accuracy, speeds up use case adoption, democratize ML, and more.

Join our webinar to learn what Feast is as an open-source feature store, how it serves features in production, operationalizes your analytics data, tracks and retrieves features for training and inference, and a live demonstration on how it helps the Fintech space in credit scoring cases.