As data and AI systems become increasingly central to enterprise and societal decision-making, governance challenges around transparency, compliance, and trust are more critical than ever. Open source plays a fundamental role in shaping the future of data and AI governance by fostering collaboration, auditability, and interoperability. This has resulted in various emerging open-source projects aiming to provide a unified metadata and governance layer for organizations to manage data assets across diverse platforms while ensuring compliance with evolving regulations. This talk explores how open-source solutions like Apache Gravitino empower enterprises to take control of their data and AI governance strategies, mitigate risks, and drive responsible AI adoption.