STREAMPOSIUM

Session highlights:

• Keynote on how Context Engineering and event-driven architecture are reshaping AI
• Implementation guidance with speakers from Google Cloud, Microsoft Azure, Databricks, and Confluent
• Hands-on workshop for building a real-time multiagent workflow
• Live Q&A to answer all your questions

What you'll learn:

• Context Engineering with streaming data so your AI agents and apps act on fresh context instead of stale batch snapshots
• Agentic AI use cases and reference architectures across industries
• How to reuse and turn your existing AI agents and systems into event-driven ones
• Patterns for event-driven agents and multi-agent systems with Confluent as the shared nervous system
• How to build using MCP, A2A, MongoDB for RAG, Streaming Agents, Flink ML Functions, AutoGen, LLMs in Amazon Bedrock for model inference, Databricks, and more!

Interactive technical sessions with Q&A

Keynote	The Future of AI is Event-Driven and Steered by Context Engineering
Streaming Agents Deep Dive	Always-on, Replayable, Event-Driven Agents
Hands-on Workshop	Real-Time Agentic Fleet Management with Anomaly Detection ML, RAG, and Streaming Agents *Complete the workshop for a chance to win a drone!
MCP Session	Turn MCP into Your Agent Superpower: Tooling Up Real-Time AI
AutoGen Session	Designing Multi-Agent Workflows with AutoGen
Agent2Agent Session	From Isolated to Collaborative Agents with Agent2Agent (A2A) Protocol
Databricks Session	Streaming Meets Lakehouse: Enterprise AI Agents with Confluent and Databricks