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ABOUT THE SPEAKER:
Michael Havey is a data architect with thirty years of experience in graph databases, generative AI, data integration, application integration, and business process management. Michael is the author of two books and numerous articles on software design topics.
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ABSTRACT:
An agent has a flow, and getting the flow right is critical. We can trust the agent’s result only if the path the agent took to get there aligns with our architectural intent. For years, BPM practitioners have faced this exact challenge with production workflows.
Most agent tools provide observability traces of the agent’s execution. This flow log gives useful raw data, but it would be advantageous to bring that data together to give us a picture of the path the agent usually takes. We borrow from BPM an algorithm called Process Mining, which uses the log to reconstruct the actual process flow. We can then compare that to the process flow we intended. Is the actual flow close enough or is it way off? Are there inefficiencies, such as superfluous tool executions, that we can try to reduce? Can we trim the flow to save cost and reduce latency?
I present results from an agent I built on AWS’s AgentCore service.
WHAT YOU’LL LEARN:
First, the recognition that agents are processes. Designing the process right is crucial.
Next, production-grade agents need observability. The agent publishes a raw trace, but there are proven algorithms, notably Process Mining, that can analyze and measure the overall process.
Finally, results from Process Mining help us compare the process we intended with the one that actually executes! This helps us determine whether we need to redesign the agent or just optimize it.
Business Leaders: C-Level Executives, Project Managers, and Product Owners will get to explore best practices, methodologies, principles, and practices for achieving ROI.
Engineers, Researchers, Data Practitioners: Will get a better understanding of the challenges, solutions, and ideas being offered via breakouts & workshops on Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more.
Job Seekers: Will have the opportunity to network virtually and meet over 30+ Top Al Companies.
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During an Ignite Talk, presenters discuss their research using 20 image-centric slides which automatically advance every 15 seconds.
The result is a fun and engaging five-minute presentation.
You can see all our speakers and full agenda here