Why a Semantic Layer Is Essential for Trustworthy GenAI Outputs
MIT CISR’s briefing shows that without a semantic layer, GenAI tools ingest de‑contextualized data, producing unreliable outputs. By unifying metadata, business meaning, and rules, a semantic layer restores trust, cuts downstream validation costs, and lets AI agents answer natural‑language queries confidently. Leaders should start with a metadata inventory, define a unified data model, and pilot the layer on high‑impact use cases.