Most “ask your data” initiatives fail to move beyond impressive demos. The gap between proof-of-concept and production-ready AI analytics solutions is littered with broken promises and burned stakeholder relationships. Copilot and other AI for BI applications can look promising at first glance but end up disappointing users.
This session reveals the proven strategies that separate successful AI-for-BI implementations from costly failures. You’ll learn how to navigate the journey from analyst-dependent reporting to AI-powered insights without falling into the common traps that destroy credibility.

Topics covered will include:
– Separating hype from reality when planning implementations
– Understanding successful use cases for Ask Your Data Solutions
– Leveraging metadata and model steerability
– Implementing proper result validation and grounding to build confidence with users
– Establishing adequate guardrails and governance frameworks