Zeke Miller
Director, Machine Learning Engineering,
Workday

ABOUT THE SPEAKER:

Zeke Miller is Director of Engineering for Agent Factory at Workday, where he combines deep expertise in programming language theory, code health, and AI to build production-grade agentic systems for data and software engineering. Previously a Staff Software Engineer at Google, he was the Uber Tech Lead for Gemini for Data, leading efforts on Code Assist, Conversational Analytics, Data Science Agents, NL2SQL, and LookML generation in Google Cloud. Zeke’s background spans Code AI in Google Labs and privacy-centric systems in Ads Privacy Sandbox, grounded in a Computer Science degree from the Rochester Institute of Technology, giving him a uniquely practical perspective on how LLMs and agents are transforming the software and data stack at scale.

TALK TITLE:

Deploying Multi-Agent Systems in Regulated Enterprise Workflows

TRACK:

Technical / Engineering Talks

SUB TOPIC:

Agents / Workflow Automation / Orchestration

ABSTRACT:

Most enterprise AI architectures put the “intelligence” in a thick agent layer: elaborate tool graphs, custom planners, and hand‑rolled orchestration logic. That feels robust—until the next model, framework, or interaction pattern ships and you’re stuck rewriting the whole thing. In this talk, Zeke Miller shares how Workday’s Agent Factory team flipped that mindset: treating agents as a thin, rewritable veneer on top of a thick foundation of systems of record, systems of action, and governance. Using real examples from conversational analytics and HR/finance workflows, he’ll show how a single well‑designed connector plus strong evals outperformed months of bespoke agent engineering, how they use evals as an executable contract between users and systems, and how they bake security and auditability in from day one. Attendees leave with a concrete mental model and patterns for building agentic systems that can change quickly without breaking the parts of the business that can’t.

WHAT YOU’LL LEARN:

TBA

Who Attends

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Data Practitioners
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Researchers/Academics
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Business Leaders
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2023 Event Demographics

Technical practitioners working directly with ML/AI systems
0 %
Currently Working in Industry*
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Attendees Looking for Solutions
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Currently Hiring
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Attendees Actively Job-Searching
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2023 Technical Background

Expert/Researcher
14%
Advanced
37%
Intermediate
28%
Beginner
7%

2023 Attendees & Thought Leadership

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Company Sponsors
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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.

Ignite what is an Ignite Talk?

Ignite is an innovative and fast-paced style used to deliver a concise presentation.

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

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