Data-Driven AI Implementation: Practical Applications and Strategies

Wednesday, October 23, 2024 | 10:15AM–11:00AM CT | Meeting Room 006CD, River Level
Session Type: Breakout Session
Delivery Format: Industry Led
AI holds tremendous promise for higher education, with the potential to enhance the student journey, increase productivity, and improve the collection of data-driven insights. However, the strategy, planning, and integration processes can seem too complex and costly for institutions to engage in, deterring some from starting on their AI journey. By viewing AI as a means rather than an end, institutions can implement flexible, scalable solutions that enable them to start seeing the value of the data integration through AI. This panel will bring together experts in AI data integration and higher education to discuss how institutions can slowly and simply diminish barriers to AI adoption. Panelists will share insights on how AI can democratize data access, enabling users to query data and discover new insights without needing expensive and expansive tools and teams, and will demonstrate how AI doesn't have to be intimidating or costly to implement and use. Join us to discover practical strategies and success stories about leveraging AI to revolutionize—and democratize—higher education.

Presenters

  • Ben Dodson

    CEO, Doowii
  • Betheny Gross

    Director of Research, WGU Labs, WGU Labs
  • David Morales

    Sr VP Technology and CIO, Western Governors University
  • Mike Sharkey

    Executive Director of Data & Analysis, Arizona State University