BA vs DA: The Semantic Gap That Derails AI Projects — Ontology as the Missing Layer
The article explains how misaligned semantics between business architecture (BA) and data architecture (DA) — previously manageable via human translation — become fatal when AI systems require machine-executable logic, arguing that ontology provides the necessary rule-based semantic layer to align business objects with machine reasoning for reliable enterprise AI.
