Business users have data questions, but answering them often requires a ping to an analyst or waiting on a report that arrives too late. Many AI tools promise to change this by dropping an LLM directly on top of your raw data, but trusted conversational analytics requires something LLMs alone don't have: an understanding of your business. 

Tableau brings business definitions, data relationships, and context to every question, so answers are accurate, consistent, and governed—it’s this knowledge engine that sets Tableau apart. Join product experts to explore three new ways we’re putting it to work across the entire Tableau platform. And see how Salesforce's global sales organization is using Tableau and Slack to deliver proactive pipeline intelligence and conversational analytics directly in the flow of work — connecting data, context, and decisions in one experience.

What you’ll see in action:

• Tableau Agent in Tableau Next: Ask complex, intent-based questions, get consistent, accurate insights and visualizations — then act on them, all in one conversation.
• Tableau Agent in Tableau Cloud: Self-serve actionable insights and visualizations instantly by asking open-ended questions directly in your dashboards.
• Headless Analytics: Surface governed insights from Tableau wherever teams work — in Slackbot, Agentforce Coworker, or in any AI agent via MCP.