Building a community of practicing AI enthusiasts within an enterprise

How to find us:
Building X: https://maps.app.goo.gl/1pRqcuMFg8dRoGUn6 (32.930465, -96.852070)
Room: BHC - X1091

About the event:
Leading enterprises are racing to rapidly transform pockets of deep domain expertise into a practicing AI community that both raises data literacy and delivers measurable business impact. This talk presents a pragmatic, scalable approach for turning experienced domain professionals into hands-on AI practitioners who can act as catalysts across the organization. Attendees will see how a combined program of customized curriculum, project-based learning using real enterprise data, mentor-led cohorts, and incentive-aligned deployment can accelerate adoption, embed analytic best practices, and generate near-term financial returns — while building the capability for continuous growth in advanced analytics and AI.

Speakers:

• Brian White - Vice President, Ericsson
• Dr. Jayarajan Samuel - Associate Professor, UT at Arlington

Program:

• 6:30pm - Doors Open
• 7:00pm - Program Starts
• 8:15pm - Conclusion & Networking

About the Speakers:
Brian White currently serving as Head of New Product Introduction for the Ericsson North America Market, Brian is a thirty-year veteran managing the development and delivery of network and software solutions primarily for telecommunications service providers. As an evangelist for the innovation driven by analytics and transformative digital solutions Brian has led the creation of strategies for migrating to next generation technologies, evolving businesses to new business models and optimizing business operations.

Dr. Jayarajan Samuel is an associate professor of Information Systems at the College of Business, University of Texas at Arlington. He has extensive experience in the ICT industry and is a consultant advising companies on their AI and ML strategies to increase business value. His current research interests are in the areas of Artificial Intelligence applications in business systems and education, data driven decision making, business analytics and mathematical modeling of business problems. His research papers have appeared in Production and Operations Management, Information Systems Research and MIS Quarterly journals.