Data and AI for Student Success to Operational Efficiencies: Driving Engagement, Learning, Retention and Optimization (separate registration is required)

Monday, March 09, 2026 | 9:00AM–4:30PM ET | Room 551 AB
Session Type: Preconference Workshop
Delivery Format: Additional Fee Program

Higher education institutions are increasingly leveraging data and artificial intelligence to improve student success, engagement, and retention. This year’s NERCOMP Data Day will bring together thought leaders and practitioners to explore how data governance, analytics, and AI can transform the student experience and reduce barriers to achievement. Attendees will gain actionable insights from industry experts and peer institutions on building data strategies that support innovation and equity.

Audience
•        CIOs, IT Directors, Institutional Research teams
•        Academic leadership and student success professionals
•        Data analysts, governance committees, and technology staff

Learning Objectives
•        Understand how data governance underpins AI-driven student success initiatives.
•        Explore practical applications of AI and analytics for engagement and retention.
•        Identify strategies for reducing barriers and improving equity through data insights.
•        Learn from case studies and institutional experiences with data and AI.
 


 

Presenters

  • Phil Ahn

    Senior Director, Data Analytics & AI, Babson College
  • Sherri Braxton Castanzo

    Deputy CIO for Digital Innovation, Bowdoin College
  • Eyal Darmon

    Managing Director, Accenture
  • Becky Frieden

    Senior Director of Enterprise Applications and Decision Support Systems, New York Institute of Technology
  • Joe Kalinowski

    Vice President for IT & CIO, Clark University
  • Patty Patria

    Chief Information Officer, Babson College
  • Edlira Stefani

    Executive Director, Data Engineering and Operations, Bentley University