In data management, semantic models address the challenge of understanding meaning and relationships within distributed data. They bridge business language and machine-readable data, enhancing interoperability, compliance, and self-service analytics. By defining concepts and semantics, they clarify terminology across systems, supporting AI integration and enabling better data governance and insights.