This session shows how organizations can power AI agents with real-time data and analytics using the Model Context Protocol (MCP) in SAS Event Stream Processing. MCP enables large language models to interact with external tools—like streaming analytics, databases, and business systems—so agents can move beyond static responses to real actions. The demo highlights a predictive maintenance use case where an operator can query live data, run what-if scenarios, and even trigger workflows (like creating service tickets) through natural language. By combining governed real-time analytics with agent-driven interfaces, organizations can unlock more actionable, context-aware AI experiences.
Presenter: Rik de Ruiter, SAS
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