AI agents need trusted data. Learn how to wire LLM agents to Tableau’s VizQL Data Service to query governed data, inherit row-level security, and turn natural language into reliable analytics queries.
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Community Speaker
Reserved Seating
Video On Demand
AI Agents Meet Data Governance with Tableau VDS
, Principal Solutions Architect, High Performance Technologies, LLC
Role: Administrator, Developer
Product: Tableau
Tableau Product: Developer Platform, Tableau Cloud, Tableau Server
Session Level: Intermediate
Session Type: Breakout
- Tuesday, May 59:00 AM - 9:40 AM PDT(4:00 PM - 4:40 PM GMT)Stage 2 | Content Pavilion, Ground LevelRESERVED SEATING
Session Summary: The session explored how AI agents can effectively interact with Tableau while maintaining governance and security protocols. It covered the challenges that arise when agents lack the necessary context or tools to query Tableau APIs effectively and detailed solutions such as using a sandbox environment and cheat sheets to guide agents. The speaker demonstrated how to prototype an AI agent that queries Tableau as a user, leveraging the Tableau REST API and VizQL Data Service API while ensuring proper context management to avoid errors and inefficiencies. Additionally, the session emphasized the importance of a secure infrastructure, including a proxy-based authentication method, to ensure data access remains within the user's governance framework.
Key Takeaways:
• AI agents can be enhanced with cheat sheets and sandbox environments to overcome context-related challenges when interacting with Tableau APIs, improving efficiency and accuracy.
• A secure proxy-based authentication system ensures agents query Tableau as the user, maintaining governance and preventing unauthorized access to sensitive data.
• Integrating Tableau's REST API and SQL Data Service API into AI workflows allows for efficient data querying while preserving all established governance models, such as row-level security and calculated fields.
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