How to Build Event-Driven Enterprise AI Agents with AutoGen and Confluent
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Agentic AI is transforming enterprise operations with autonomous problem-solving, adaptive workflows, and scalability. Agents need access to data, tools, and the ability to communicate with other agents and share information across systems.
This is where AutoGen and a data streaming platform come in. Together, they provide a robust framework, shared language and orchestration layer for AI agents to process real-time data, take coordinated action, and integrate seamlessly with broader ecosystems – with built-in governance ensuring data quality and security.
Join AI experts, Sean Falconer from Confluent and Melody Yin from Microsoft, as they walk through a tutorial using AutoGen, Azure OpenAI's GPT LLM, MongoDB, Confluent and Flink. Register now to learn:
- How agents are stateful microservices with a brain and why event-driven architecture (EDA) is key
- How to build real-time agents with AutoGen and data streaming
- How to use connectors, Flink stream processing and AI Model Inference, and Stream Governance
- Step-by-step walkthrough of a multi-agents tutorial
- And get all your questions answered during live Q&A