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How to Build Streaming Agents to Power Intelligent Context-Aware Automation

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Thursday, November 20, 2025

10 AM PST | 1 PM EST | 10 AM GMT | 10:30 AM IST | 1 PM SGT | 4 PM AEDT

AI agents are transforming enterprise operations with automated workflows to drive efficiency, improve customer experiences, and accelerate innovation. But the real challenge isn’t building better models – it’s data infrastructure, as agents are only as effective as the data they can access. How do you ensure data readiness and turn agents from brittle demos into production-ready multi-agent systems? Streaming Agents enable you to create event-driven agents that act as eyes and ears of business, using fresh contextualized data to continuously monitor and act on live operational events, automating valuable use cases that save time and costs.

Join AI experts Sean Falconer and Brenner Heintz as they walk through a Streaming Agents tutorial using Flink, Claude LLM, Anthropic’s Model Context Protocol (MCP), embeddings and vector search for agentic RAG with MongoDB.

Register now to learn:

  • What are Streaming Agents and why event-driven architecture (EDA) is key
  • Agentic AI use cases and reference architectures
  • How to unify data processing and AI to serve real-time context
  • Tool calling with MCP
  • How to build, deploy, and orchestrate event-driven Streaming Agents
  • Get all your questions answered in live Q&A
Sean FalconerHead of AI, Confluent

Sean is a Senior Director, Product Management - AI Strategy at Confluent where he works on AI strategy and thought leadership. Sean's been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Sean also hosts the popular engineering podcasts Software Engineering Daily and Software Huddle.

Brenner HeintzStaff Technical Product Marketing Manager, Apache Flink®, Confluent

Brenner Heintz focuses on applying stream processing and real-time data transformation techniques to LLM- and AI-based applications in his role as Staff Technical PMM, Apache Flink at Confluent. He is a practitioner of and evangelist for open table formats and streaming data pipelines, having previously worked at Fivetran and Databricks.