Improving Student Success, Engagement and Inclusion through Actionable AI and Behavioral Data

Wednesday, October 11 | 3:00PM–3:45PM CT | Poster #606, Halls F1, F2, Level 3
Session Type: Poster Session
Delivery Format: Poster Session
The lingering effects of the pandemic continue to impact enrollment and engagement strategies, making it increasingly essential for institutions to adopt data-driven practices to not just survive, but thrive in a rapidly changing environment. Review how leading-edge universities use AI and new data sources to generate predictive insights and engagement metrics across the student lifecycle. Learn how private sector lifestyle data can combine with machine learning to better engage students, improve diversity, and predict enrollment outcomes with more accuracy.


  • Brian Haugabrook

    Specialist Leader, Deloitte
  • Sterlin Sanders

    Assistant CIO, Tennessee State University
  • Eileen Sullivan

    Specialist Leader, Higher Education Practice, Deloitte