Organizing AI Agents: Behavior, Incentives, and Design in Human-AI Teams
Free Online Event, Nov. 12-13, 2026
Every company racing to deploy AI agents is asking the same question: How do we get them to work together? So far, the answer has been purely technical — better protocols, faster handoffs, smarter orchestration. But there's a problem nobody's pricing in: These agents were trained on human language, and they're starting to act like it. They cut corners when incentives are misaligned. They copy each other into bad decisions. They perform differently in a group than they do alone.
That's not a systems failure. That's organizational behavior now showing up in a workforce that didn't exist five years ago. This conference puts that connection at the center: bringing together the people building agentic systems and the people who've spent careers studying how incentives, communication, and structure shape teams. And because agent organizations can be tested and rebuilt in an afternoon instead of a fiscal quarter, we're looking at a rare chance to run the experiments human organizations never could.
Join us for keynotes, panels, and talks from leading academics and industry practitioners at the frontier of this shift.
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© 2026 McCombs School of Business, The University of Texas at Austin
2026 GLOBAL ANALYTICS SUMMIT
ORGANIZING AI AGENTS
NOV. 12-13 | ONLINE
This is a free virtual conference.
All registrants will receive a program following the event.
Behavior, Incentives, and Design in Human-AI Teams
Nov. 12-13, 2026
Free Online Event | Confirmation Sent Upon Registration
ORGANIZING AI AGENTS
Behavior, Incentives, and Design in Human-AI Teams
PROGRAM COMMITTEE
Faculty, Department of Electrical and Computer Engineering
Faculty, Department of Finance
Principal Advisor, Informatica
Founder and CEO, Wisary, Inc.
Software Development Engineer, AWS
Co-creator of Project Jupyter and the Jupyter Notebook; Sr. Principal Technologist, AWS
Best-selling author of Mastering Tableau; Founder, Giddy Up Data
Associate Dean for Research, McCombs School of Business, UT Austin
Principal Advisor, Informatica Inc.
Software Development Engineer, AWS
Founder, PathPilot
Faculty (IROM) and Faculty Director (CATT), UT Austin
Principal AI Researcher, Intuit Corp.
Sr. Software Engineer, AWS
Senior Partner, McKinsey & Co.
Dean, McCombs School of Business
Software Development Engineer, AWS
Visiting Fellow, Imperial College Business School
Faculty (Finance) and Managing Director (CATT), UT Austin
Principal Software Development Engineer, AWS; Jupyter Distinguished Contributor
Finance Systems Transformation, Alphabet (Google) Inc.
SVP Data Science, TransUnion LLC
Co-founder at Sphinx; ex-AI/ML Leader at Citadel
Professor of Finance, Santa Clara University; Amazon Scholar, AWS
Technical Staff, Software Engineering, Dell Technologies Corp.
VP, AI and Data, Applied Materials, Inc.
SPEAKERS AND PANELISTS
All Times Listed US Central
AGENDA
DAY 1 / THURSDAY, NOVEMBER 13
10:30 a.m.–12:00 p.m.
Pre Conference Workshop: AI and Agents
Kumar Muthuraman, Faculty (IROM) and Faculty Driector (CATT), UT Austin
12:45 p.m.–1:00 p.m.
Welcome Remarks (Day 1)
Michael Sury, Faculty (Finance) and Managing Director (CATT), UT Austin
Lillian Mills, Dean, McCombs School of Business
1:00 p.m.–1:50 p.m.
Keynote Presentation: SmartMCP: Data-Driven Rule Learning and Description Optimization for Tool-Use Agents
Kamalika Das, Principal AI Researcher, Intuit Corp.
1:50 p.m.–2:00 p.m.
BREAK
2:00 p.m.–3:30 p.m.
Panel/Workshop: Jupyter and AI: New Features and Implementation Paradigms
Sanjiv Das, Professor of Finance, Santa Clara University; Amazon Scholar, AWS
Brian Granger, Co-creator of Project Jupyter and the Jupyter Notebook; Sr. Principal Technologist, AWS
Piyush Jain, Principal Software Development Engineer, AWS; Jupyter Distinguished Contributor
Jonathan Guinegagne, Sr. Software Engineer, AWS
David Qiu, Software Development Engineer, AWS
Andrii Ieroshenko, Software Development Engineer, AWS
Michael Chin, Software Development Engineer, AWS
3:30 p.m.–3:45 p.m.
BREAK
3:45 p.m.–4:45 p.m.
Panel: Agentic AI in the Enterprise: Strategy, Deployment & Transformation
Moderator:
Panelists:
Michael Sury, Faculty (Finance), UT Austin
Saurabh Jha, Technical Staff, Software Engineering, Dell Technologies Corp.
Puneet Thakkar, Finance Systems Transformation, Alphabet (Google) Inc.
Yogesh Kulkarni, Vice President of Product & Solution Strategy (Generative AI Frontline Solutions) at Zebra Technologies
Sachin Dangayach, Senior Director / Head of AI & Advanced Analytics at Applied
Materials, Inc.
4:45 p.m.–5:30 p.m.
Talk: Learning What Actions Do: Induction and Planning in Agent
Driven Automation
Robert Stratton, SVP Data Science, TransUnion LLC
DAY 2 / FRIDAY, NOVEMBER 14
8:45 a.m.–9:00 a.m.
Welcome Remarks (Day 2)
David Harrison, Associate Dean for Research, McCombs School of Business, UT Austin
9:00 a.m.–10:00 a.m.
Agentic AI: A Business Revolution or (an expensive) Bust
Jeff Hart, Senior Partner, McKinsey & Co.
10:15 a.m.–11:30 a.m.
Panel: Vibe Coding: Risk, Reward, and Responsible Design
Moderator:
David Hendrawirawan, Principal Advisor, Informatica Inc
Panelists:
David Baldwin, Best-selling author of Mastering Tableau; Founder, Giddy Up Data
Feridoon "Doon" Malekzadeh, Founder, PathPilot
Michael Schrage, Visiting Fellow, Imperial College Business School
Ala Stolpnik, Founder and CEO, Wisary, Inc.
11:30 a.m.–11:40 a.m.
BREAK
11:40 a.m.–1:00 p.m.
Presentation: Optimal Representations of Data for AI
Rohan Kodialam, Co-founder at Sphinx; ex-AI/ML Leader at Citadel
Yin Zhi, Director of Data Science and Analytics, TransUnion LLC
Zinan Zhao, Data Science Manager, TransUnion LLC
10:00 a.m.–10:15 a.m.
BREAK
Data Science Manager, TransUnion LLC
Director of Data Science and Analytics, TransUnion LLC
SPONSORS
Vice President of Product & Solution Strategy (Generative AI Frontline Solutions) at Zebra Technologies
Senior Director / Head of AI & Advanced Analytics at Applied Materials, Inc.
PROGRAM COMMITTEE