In my previous blog, I explored the shift from static, table-based data storage to dynamic event streams. Now, I turn my attention to another fundamental change in data governance: the move towards ontology-driven approaches. This paradigm shift is transforming how organizations understand, manage, and leverage their data assets, particularly in the context of AI readiness and data interoperability.