About this talk
This talk addresses the limitations of generative AI applications in handling the complexities of real-world business workflows and transactions. The speaker explores the synergy of event-driven architectures and multi-agent systems, highlighting their potential to deliver adaptive, scalable, and context-aware AI solutions. Attendees will gain insights into how event-driven design fosters real-time responsiveness, while multi-agent systems enhance distributed intelligence and coordination for complex tasks. The session covers theoretical foundations, practical implementation strategies, and live examples using frameworks such as AutoGen, CrewAI, and LangGraph to build effective multi-agent applications. By integrating these paradigms, developers can create AI systems that respond efficiently to the unpredictability of modern workflows.
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