The next enterprise architecture asset: Ontologies for AI

A data ontology starts with a simple but powerful shift: organizing data by meaning, not just structure. In practice, it provides a shared semantic framework that defines what data represents, how key entities relate and how that meaning is consistently understood across systems, teams and acquisitions. By integrating data across silos and domains, an ontology ensures information is interpretable by both humans and machines, enabling a uniform understanding regardless of source or context.