Presented By Andrew Smailes
This session explains how DAMA DMBOK practices provide the consistent foundation for both generative and symbolic AI. Data quality, metadata management, and stewardship extend beyond structured data into language, records, and documents. Weak classification, inconsistent terminology, and unmanaged language create downstream risk in implementing AI.