What you will learn
- Why real BI adoption has been stuck near 30% for years—and why that’s structural, not a training problem
- How a dashboard works as a passive query device, and why inverting the flow changes the decision
- The three AI-native layers: natural conversation, proactive anomaly detection, and generated narrative
- What a conversational architecture needs to be reliable: shared semantics and a traceable answer
- What breaks these demos when they reach production—and the adoption KPIs that actually matter
Who this is for
CDOs, CIOs, data and analytics leaders, and business teams who want data to answer in sentences—with lineage—instead of producing more panels no one consults.