From Experimental to Enterprise: How Semantic Layers Make AI Trustworthy

Large Language Models promise to transform analytics, yet enterprises consistently encounter hallucinations, inconsistent responses, and outputs they can’t trust for strategic decisions. The fundamental issue isn’t the AI – it’s the missing context layer that provides governed metrics and business logic.

A semantic layer solves this by codifying domain knowledge and enabling full traceability. When AI systems access the same governed logic that powers trusted BI, they become consistent, explainable, and enterprise-ready. In this webinar you will learn:

• Why AI systems fail without proper context and governance
• How semantic layers create trustworthy, traceable AI outputs
• Integrating semantic layers with data governance frameworks
• Steps to operationalize AI that’s reliable and scalable across enterprise use cases