Generative AI is transforming the world as we know it. In just a short time, it has become a critical technology for business productivity across all sectors of the economy — empowering organizations to create, innovate, and adapt to changing market conditions. The surge in GenAI’s popularity has brought about an increasing number of models, techniques, commercial offerings — and concerns.

Now is the time for leaders in the field to talk about where we go from here.

Experts from industry and academia will discuss large language models, state-of-the art applications, best practices for implementation, business use cases, and ethical issues. Keynote presentations and panels will offer a truly integrated discussion of theoretical, technical, and applied aspects of GenAI.

Who should attend? Business leaders, data scientists, business analysts, academic researchers, and students of all ages, backgrounds, and disciplines are invited to attend this online conference.

Field CTO,
Synthesized

Nov. 16–17, 2023

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Agenda  |  Speakers  |  Register

AGENDA

Founder and CEO,
Affinity Answers

Director, Data Integrity First, Lecturer, McCombs School of Business

Distinguished Engineer,
Dell Technologies

Executive Vice President and Chief Data and Analytics Officer,
TransUnion

Analyst and Strategy Consultant,
Heracles Media

Assistant Professor of Computer Science,
University of Texas at Austin

Professor of Computer Science and Engineering,
Boston University

CATT 2023 GLOBAL ANALYTICS CONFERENCE

GENERATIVE AI

Corporate VP, Applied Materials

SPEAKERS AND PANELISTS

Speakers/Panelists

SPONSORS

Computing Innovation Fellow,
John A. Paulson School of Engineering and Applied Sciences,
Harvard University

Large Language Models: 
Breakthroughs, Best Practices, Costs, and Promises

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Sr. Distinguished Engineer,
Dell Technologies

Dean, McCombs School of Business,
University of Texas at Austin

Thursday | Nov. 16, 2023

10:00–11:30 a.m.

Gordon McKay Professor of Computer Science,
Harvard Law School

Managing Partner,
MoviPartners

SVP, Data Science,
Neustar, Inc., a TransUnion company

Pre-Session: Primer on Generative AI

This is a virtual conference. 
All registrants will receive a program following the event.

Welcome Remarks, Day 1 Recap and Day 2 Preview

8:45–9:00 a.m.

Friday | Nov. 17, 2023

Chair, Good Systems, UT Austin

Online Event | Confirmation Sent Upon Registration

PROGRAM COMMITTEE

Department Chair, Information, Risk, and Operations Management, McCombs School of Business
University of Texas at Austin

Director, Center for Analytics and Transformative Technologies,
McCombs School of Business
University of Texas at Austin

Department Chair, Finance, and Director, Energy Management and Innovation Center,
McCombs School of Business
University of Texas at Austin

12:45–1 p.m.

Welcome Remarks

Speaker:

Dan Mitchell, Research Director, CATT; Faculty, Dept. of IROM, UT Austin

Speakers:

Lillian Mills, Dean, McCombs School of Business, UT Austin
Michael Sury, Managing Director, CATT; Faculty, Dept. of Finance, UT Austin

1:00–1:45 p.m.

Keynote Presentation: Deploying Generative AI for Consumer & Small Business Finance, with Velocity at Scale.

Speaker:

Ashok Srivastava, SVP & Chief Data Officer, Intuit

Break

1:45–2:00 p.m.

Panel: Practical Issues in Leveraging Gen AI for the Enterprise

2:00–3:00 p.m.

Moderator:

Kumar Muthuraman, Faculty Director, CATT: Faculty, Dept. of IROM, UT Austin

Panelists:

Junaid Ahmed, Corporate VP, Corporate Planning, Applied Materials
Michael Shepherd, Distinguished Engineer, Dell Technologies
David Hendrawirawan, Strategy and Governance, Data Integrity First

Break

3:00–3:15 p.m.

Ron Green, Chief Technology Officer, KUNGFU.AI
Adam Leonard, Chief Analytics Officer & Director of the Division of Information Innovation & Insight (I|3) for the Texas Workforce Commission
Ray Mooney, Professor, Department of Computer Science, College of Natural Sciences, UT Austin
Amy Sanders, Associate Professor, School of Journalism and Media, Moody College of Communication

Panelists:

Sherri Greenberg, Chair of Good Systems and Assistant Dean for State and Local Government Engagement at the LBJ School of Public Affairs

Moderator:

3:15–4:15 p.m.

Panel: Protecting Our Values: Generative AI, Policy and the Future of Work

Robert Stratton, SVP Data Science, TransUnion

Speaker:

4:15–5:15 p.m.

Presentation: Learning the Grammar of Fraud - Applying Gen AI

Speaker:

David Harrison, Associate Dean for Research, McCombs School of Business, UT Austin

Rakesh (Teddy) Kumar, VP, Information and Computing Sciences Director, Center for Vision Technologies, SRI International.

Speaker:

Presentation: The Use of Generative AI for Tasks in the Real World

9:00–10:00 a.m.

Anitesh Barua, Chair (Dept. of Information, Risk, & Operations Management), UT Austin

Speaker:

10:15–11:00 a.m.

Presentation: Can GenAI Deliver on its Promises?

Break

11:00–11:15 a.m.

Presentation: Ingredients for Reinforcement Learning from Human Feedback: The Secret Sauce

Speaker:

Nazneen Fatema Rajani, Research Lead, Hugging Face

11:15 a.m.–12:15 p.m.

12:15–1:00 p.m.

Presentation: Leveraging Generative AI to Dramatically Transform Contact Centers and Improve Customer Engagement and Experience

Speakers:

Dan Reed, Chief Customer Officer, [24]7.ai
Jeetu Narayan, VP Products & Customer Operations, [24]7.ai