Enterprise AI Cannot Deduce Business Meaning from Data Alone

Enterprise AI doesn’t fail because the data is missing or the model is weak. It fails because business meaning is implicit, locked in policies, SAP configurations, and tacit knowledge. This article explores the iceberg of enterprise context and why federated reasoning is the next frontier beyond data, ontologies, and semantics.

Context Is Everything — In Life and in AI

Your AI knows what Wikipedia says about “revenue.” It doesn’t know how your company recognizes it. That gap, between general knowledge and business meaning, is the hidden challenge of enterprise AI.

The Agentic Shift: From Speed of Insight to Safety of Action

Waiting for IT’s AI masterplan is not an option. SAP customers need to see real value now.
While 95% of AI projects fail to reach production, the problem isn’t technical – it’s cultural. Semantic modeling bridges this gap, translating SAP’s cryptic structures into business concepts AI can understand, while keeping governance intact.
The opportunity isn’t waiting for transformation. It’s making AI work today, from where you already are.