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Harnessing Event-Driven and Multi-Agentic Approaches for Efficient AI Data Flows
Generative AI applications excel at isolated tasks like zero-shot and one-shot problem solving, but struggle with the complexity of real-world business workflows and transactions. Traditional system architectures are often too rigid to handle the dynamic, real-time requirements of these workflows. This session explores how event-driven architectures and multi-agent systems can work together to create adaptive, scalable, and context-aware AI solutions.
Attendees will learn how event-driven design enables real-time responsiveness while multi-agent systems bring distributed intelligence and coordination to complex tasks. The talk will cover theoretical foundations, practical implementation strategies, and live examples using frameworks such as AutoGen, CrewAI, and LangGraph to build multi-agent applications. By combining these two paradigms, developers can design AI systems that are more efficient, resilient, and capable of handling the unpredictability of modern workflows.
What You Will Learn
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How to integrate event-driven architecture with multi-agent systems for scalable AI workflows
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Design principles for achieving real-time coordination and adaptive decision-making
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A hands-on example of building a simple multi-agent application using AutoGen, CrewAI, or LangGraph
Who Should Attend
AI engineers, software architects, and developers interested in building scalable, real-time, and adaptive AI systems for complex business environments.
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About the speaker
Mary Grygleski
Regional Director - East, The AI Collective
Mary is a Technical Advocate, Java Champion, and the Regional Director - East at the AI Collective, a non-profit, grassroots community and think tank in the AI space. Mary started as an engineer in Unix/C, then transitioned to Java around 2000 and has never looked back since then. After 20+ years of being a software engineer and technical architect, she discovered her true passion in developer and customer advocacy. Most recently she was the Director of Emerging Technology, helping to build the new AI practice at a boutique software consultancy. She has serviced companies of various sizes such as IBM, US Cellular, Bank of America, Chicago Mercantile Exchange, in topic areas that included Java, GenAI, Streaming systems, Open source, Cloud and Distributed messaging systems. She is also a very active tech community leader outside of her day job. She is the President of the Chicago Java Users Group (CJUG), the North America East Regional Director and the Chicago Chapter Organizer of the AI Collective.
