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.