A feature store is designed to enhance access to data for ML Ops workflows without replacing existing data infrastructure. The emphasis is on gradual adoption and minimizing duplication by leveraging what teams already have in place. The conversation highlights the importance of operational environments and the need for a catalog of vetted, production-ready features to streamline model development.
