Wed, Jul 29 · 2:00 PM EDT
11 attendees from 11 groups
Business intelligence isn't disappearing. It's being absorbed.
For years, organizations have invested in dashboards, semantic layers, and increasingly complex analytics stacks designed to help people find answers in data. But as AI systems gain the ability to reason over business context, generate analyses, and answer questions directly, the role of traditional BI is undergoing a fundamental shift.
In this session, we'll explore what happens when AI becomes the primary interface for enterprise data. You'll see how leading organizations are moving beyond dashboard-centric workflows and building AI systems that understand business logic, operational context, and institutional knowledge.
Rather than spending time writing SQL, creating reports, or maintaining layers of abstraction, analysts are increasingly focused on teaching AI how the business works—and turning that knowledge into a scalable organizational asset.
Join us for a practical discussion on what the future of analytics looks like, how to avoid investing in architectures that are already becoming obsolete, and what skills data professionals need to remain indispensable in an AI-native world.
What You'll Learn:
1️⃣ Why Traditional BI Is Reaching a Turning Point: Understand how advances in AI are reshaping reporting, analytics, and self-service data access.
2️⃣ From Query Writers to Context Engineers: Learn how analysts are evolving from producing answers to teaching AI the business knowledge required to generate them.
3️⃣ Building AI Systems with Real Business Understanding: Explore how organizations are capturing institutional knowledge, operational context, and decision frameworks to improve AI accuracy and trust.
4️⃣ Avoiding the AI Readiness Trap: Identify common investments, architectures, and proof-of-concept cycles that may create more complexity than value.
5️⃣ The Skills That Matter in 2028: Discover which capabilities—from governance and observability to knowledge modeling and AI orchestration—will define the next generation of data leaders.
Register here