Beyond Queries and Buzzwords: Where Generative AI Really Delivers in Analytics & BI

Most conversations about AI and business intelligence often get lost in the hype, overlooking a critical tension: the clash between deterministic, rigorous data and the non-deterministic nature of generative AI. For data professionals, this tension is real. Reports and dashboards must be precise; large language model responses are not. In industries like finance and healthcare, a single hallucination can have significant consequences. Yet when applied responsibly, generative AI can surface connections and insights that human analysts might miss. The challenge is harnessing this power without sacrificing accuracy. Our panel of experts believe the future of business intelligence lies in convergence: blending the reliability of deterministic reports with the interpretive strength of AI. It's about bringing together the trusted data you rely on with the interpretive power of AI to unlock new value. Join us as we explore what Generative AI is really useful for in business intelligence. You'll hear from experts as they tackle tough questions, including:

• How can deterministic data such as financial reports benefit from AI-powered insights?

• How can conversational analytics empower more users without losing accuracy?

• How to deliver the right data to the right people, with the right context, to avoid bad decisions?

• Why is context, not just conversation, the real key to democratizing analytics?

• What safeguards prevent AI from turning confident-sounding guesses into costly missteps?

• What practical strategies exist for embedding AI insights directly into business workflows?

This panel will provide actionable insights for data and analytics leaders navigating the intersection of generative AI and business intelligence, moving beyond buzzwords to focus on real-world applications that drive business outcomes.