AI breaks on enterprise data. See real Tableau customer use cases where Euno auto-generates a context graph across all data platforms, unlocking reliable AI analytics, engineering, and governance.
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Community Speaker
Reserved Seating
Video On Demand
The Context Layer AI Needs to Work on Enterprise Data
Objective 1: Understand how strong data governance directly impacts AI ROI.
Objective 2: See how unified context allows AI to reason over and safely use enterprise data.
Objective 3: Explore how Euno turns metadata into automated context for AI.
, Co-Founder & CEO, Euno
Role: Architect, Finance and Accounting, IT
Industry: Financial Services, Retail, Technology
Product: Tableau, Agentforce
Tableau Product: Tableau Cloud, Tableau Next
Session Level: Beginner
Session Type: Theater
- Wednesday, May 610:10 AM - 10:30 AM PDT(5:10 PM - 5:30 PM GMT)Theater 4 | Data Village, Ground LevelFIRST COME FIRST SEATED
Key Takeaways:
• AI can only scale effectively in enterprise environments when complete and instant context is provided, as demonstrated by the integration of metadata and automation through tools like Tableau and Snowflake.
• Automated governance rules and dynamic contextual insights enable secure and trustworthy AI operations, ensuring compliance and reducing risks associated with sensitive data exposure or misuse.
• Real-world use cases, such as root cause analysis for metric discrepancies and impact analysis for data changes, showcase the significant time and resource savings enabled by leveraging AI-driven context platforms.
