What AI agents get wrong, and how semantics fixes it

The debate over whether to build a semantic layer is past us—the real questions are now "What does good actually look like?" and "Why do so many production setups only work on paper?" This session unpacks what separates living infrastructure from slide-deck architecture. We will explore three practical signals of high-maturity deployments: defining semantics directly in the gold context layer alongside warehouse governance, leveraging open portability standards like Apache Ossie, and building live feedback loops that capture usage in real time to prevent drift.

We will then stress-test these signals against the ultimate litmus test: AI agents, which instantly expose fragile semantic foundations. You will walk away with a practical, vendor-neutral diagnostic framework to assess the true resilience and agent-readiness of your own stack, as well as a reference to how Fabuwood, a luxury cabinet manufacturer, experienced exponential growth after adopting an AI-ready context layer.