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Optimizing Complex Workflows with Event-Driven Multi-Agentic Approach
Fri, 25 April
This presentation explores the integration of event-driven data streaming techniques with multi-agentic generative AI workflows, offering a powerful approach to complex system design. By leveraging event streaming, we enable real-time data flow and processing across multiple AI agents, each specializing in distinct tasks such as reflection, tool use, planning, and collaboration.
The proposed architecture allows for:
- Scalability: Easily add or modify agents without disrupting the entire system.
- Flexibility: Dynamically route tasks and information based on event triggers.
- Resilience: Distributed processing reduces single points of failure.
- Efficiency: Parallel processing of tasks by specialized agents.
- Adaptability: Real-time adjustments to workflow based on streaming data.
This approach not only improves the scalability and efficiency of AI-driven workflows but also increases system resilience by allowing multiple specialized agents to handle distinct tasks in parallel.
Target Audience: This session is primarily aimed at DeepTech Professionals and AI Researchers, as it focuses on advanced integration of AI agents and event-driven data streaming techniques. Software Architects are the secondary audience, as they need to understand how to design scalable and flexible systems leveraging event-driven AI workflows. OpsTech Professionals working on complex distributed systems may also find value in learning how to implement resilient and efficient multi-agent workflows.
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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.
