See how Data 360 and Tableau Next give AI agents the unified data and context they need to interpret signals from anywhere in your business and turn them into action.
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Community Speaker
Reserved Seating
Video On Demand
From Data to Decisions: AI Agents That Act on Any Signal
, Director, GTM Systems, Engine
, Senior Director, Product Marketing, Salesforce
, Vice President, Customer Experience & Operations, Engine
, Senior Director, Product Manager, Salesforce
Role: Administrator
Product: Data 360
Session Level: Beginner
Session Type: Breakout
- Tuesday, May 511:30 AM - 12:10 PM PDT(6:30 PM - 7:10 PM GMT)Stage 5 | Content Pavilion, Ground LevelRESERVED SEATING
Session Summary: The session explored the transformative capabilities of Salesforce's Data 360 and Tableau in enabling data-driven decision-making and contextual AI applications. Data 360 was highlighted as a foundational system for unifying and harmonizing structured and unstructured data in real-time, leveraging its semantic layer to provide business context, activate data across Salesforce and Tableau applications, and enable seamless integration with tools like MuleSoft. The speakers emphasized how Data 360's Zero Copy architecture and integration with Snowflake have unlocked vast data capabilities for real-time insights, such as customer-specific information and predictive metrics, thereby improving operational efficiency. Additionally, Tableau Next was showcased as a critical tool for observability, empowering organizations to monitor and optimize AI agents and business processes with actionable analytics and insights, resulting in measurable improvements like a rise in customer satisfaction scores and faster decision-making cycles.
Key Takeaways:
• Data 360's semantic layer and Zero Copy architecture provide unified, real-time data activation across Salesforce, Tableau, and external systems, ensuring seamless integration and scalability.
• Tableau Next enhances observability and operational efficiency by delivering real-time analytics and enabling proactive monitoring of AI agents, resulting in improved customer satisfaction and streamlined workflows.
• The integration of Data 360 with Snowflake has enabled organizations to leverage billions of data rows for actionable insights without duplicating data, significantly reducing maintenance costs and enabling advanced use cases like predictive analytics and personalized customer interactions.
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