Experiences

AI Roadshow Series: Enhancing the Higher Ed, Research, and Health Experience with AI

Event Overview

Please join World Wide Technology and our partners, Dell and NVIDIA, for part one of an exclusive AI Roadshow - hosted at UTSA's School of Data Science. Date: Wednesday, June 26, 2024 Time: 8:00 AM - 1:00 PM Location: UTSA School of Data Science (506 Dolorosa Street | San Antonio, TX 78204) AI is transforming various sectors of society - Higher Ed, Research, and Academic Health are in many cases, at the forefront of this technology - by enabling new ways of teaching, learning, discovering, and delivering AI to the world. AI also poses significant challenges, such as ensuring ethical, fair, and responsible use of AI, developing AI skills and competencies, integrating AI with existing systems and processes, and fostering AI innovation and collaboration across disciplines and sectors. The event will feature keynote speakers, panel discussions and focused sessions on all things AI - ethics, education, applications, collaboration and innovation.

Sachin Koshy

World Wide Technology

AI & Automation Practice Lead

Sachin has been inspiring cross-functional teams for over 25 years. He uses his experience as an educator, soldier, speaker, and Six Sigma practiti...
Craig Allen

Dell Technologies

AI Solution Architect, Data Science Platform Team

Craig is a Dell AI Solution Architect. His role as a pre-sales technical specialist is to help customers in understanding Dell's solutions for AI a...
Michael Sink

World Wide Technology

Chief Technology Advisor

Michael serves as Chief Technology Advisor of higher education at WWT. In this role, Michael engages with clients on strategy, innovation, and tran...
Daniel Fatade

NVIDIA

Senior Solutions Architect, Generative AI

Daniel focuses primarily on MLOps, where he supports NVIDIA’s strategic customers by building scalable GenAI solutions. He started his career worki...

What to expect

During this event, industry experts from WWT, Dell & NVIDIA will discuss:
  • Current and emerging trends, challenges and opportunities of AI.
  • Best practices, case studies and success stories of AI applications and innovations.
  • Gaps, needs, and priorities for AI research, education and practice.

Goals and Objectives

The purpose of this event is to create a community of practice that can advance the state of the art and the state of the practice of AI in Higher Ed, Research, and Academic Health.

Who should attend?

Researchers, educators and practitioners from Higher Ed, Research and Academic Health.