Date: March 19, 2026
Time: 2:00-2:45 pm EDT

Your AI is confidently wrong—and it’s costing you trust, time, and opportunity.

Enterprise AI promises transformative results but delivers a frustrating reality: chatbots that hallucinate facts, search results that miss the mark, and answers you can’t verify or trust. The problem isn’t your data or your LLM, it’s the missing architecture between them.

Join us March 19 for a revealing 45-minute session where we’ll expose why traditional RAG approaches fall short and demonstrate the three-layer architecture that leading enterprises use to eliminate AI hallucinations and deliver production-ready results.

You’ll discover:

• The hidden gap in your AI stack that causes hallucinations (and why data connectivity alone isn’t enough)
• Why connectivity is just Layer 1 of a three-layer knowledge graph platform, and what Layers 2 and 3 actually do
• A live side-by-side comparison: Watch traditional RAG return dozens of irrelevant documents while knowledge graph-guided RAG delivers precise, explainable results to the same complex query
• A practical framework for designing and implementing knowledge graphs in your enterprise
• How to leverage your existing cloud infrastructure investments to jumpstart your knowledge graph journey

Live demo highlight: See the difference between traditional RAG and agentic, knowledge graph-guided RAG with explainable reasoning paths you can verify and trust.

This session is perfect for IT leaders, enterprise architects, AI/ML teams, and data strategists who need to move AI from pilot to production with confidence.