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The Context Gap: Why Accurate AI Needs a Semantic Layer
Upcoming Live On-demand
Tableau
Tableau Next
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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 guessesnot reliable insights. Thats the context gap.

Closing it requires more than data access. It requires a business brain. And thats where Tableau Semantics comes in: by providing a governed, unified understanding of your data, it ensures your agents reason in the language of your businessproviding 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. Well 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 well cover:

  • Engineering the "Business Brain": Why Tableau Semantics is the essential "translation layer" between raw data and reliable AI.
  • The Blueprint for Accuracy: How to coach your agent using semantic models, eliminating guesswork and driving more accurate conversational analytics that evolve alongside your business logic.
  • Real-World Results with Engine: A deep dive into how Engine built "Eva" to automate routine tasks and surface trustworthy insights directly within Slack and Salesforce.

Featured Speakers

Joshua Stern

Director GTM Systems
Engine

Roy Gal

Director, Product Management
Salesforce

Lara Niemela

Senior Manager Product Marketing
Salesforce

Shira Gellman

Senior Manager, Product Management
Salesforce

Products Featured


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