Building an agent is easy. Trusting one with your P&L is not.
LLMs are designed to converse, not to calculate. Without a governed source of truth, AI produces confident guesses—not reliable insights. That’s the context gap.
Closing it requires more than data access. It requires a business brain. And that’s where Tableau Semantics comes in: by providing a governed, unified understanding of your data, it ensures your agents reason in the language of your business—providing accurate, consistent, and actionable insights.
Join us for a tactical session that cuts through the AI hype to explore the architecture behind reliable, enterprise-grade agentic analytics. We’ll be joined by the team at Engine, who will share how they transformed service operations with agentic analytics. See how they built “Eva,” an employee-facing agent powered by Tableau Semantics, delivering trustworthy insights directly into the flow of work.
What we’ll cover:
