As the landscape of machine learning evolves and becomes increasingly more intensive, the importance of robust metadata and its availability becomes paramount in managing data systems. In this talk, we discuss practical ways of using metadata to optimize machine learning workflows, enable data discoverability, and streamline data management for organizations at any size and on any stack.