Harnessing Event-Driven and Multi-Agentic Approaches for Efficient AI Data Flows - Mary Grygleski

This talk explores the limitations of generative AI applications in complex business workflows and how event-driven architectures combined with multi-agent systems can address these challenges. The speaker discusses the need for adaptive, scalable, and context-aware solutions, emphasizing the role of event-driven design in enabling real-time responsiveness and the benefits of distributed intelligence in complex tasks. Attendees will gain insights on theoretical foundations and practical implementation strategies, including live examples using frameworks such as AutoGen, CrewAI, and LangGraph to create efficient multi-agent applications. By integrating these paradigms, developers can build AI systems that effectively manage the unpredictability of modern workflows.