The Students You're About to Lose
The AI-Ready Institution
A 30-minute consortium briefing on turning data and AI into students who stay, and finish.
Why You Should Attend
Most students who leave don’t fail out, they drift, and the warning signs sit in campus data weeks before anyone acts. Retention is one of the few enrollment levers an institution fully controls, but operationalizing it means connecting data across systems and reaching the right students in time. In this 30-minute briefing, CCF convenes a practical, vendor-neutral look at how predictive early-alert analytics and AI-assisted outreach help institutions intervene before students disengage.
What you’ll take away:
- Why the signals of attrition usually exist before anyone notices
- What predictive early-alert looks like across SIS, LMS, aid, and engagement data
- How AI-assisted outreach extends advisor reach without adding staff
- Why integration and engagement are the prerequisites that make retention work
About Speakers
Join us and be part of the conversation shaping the future of student retention
Join us and be part of the conversation as we explore what it takes to improve student retention in today’s higher education environment. Most students who leave do not fail academically, they disengage over time, with warning signs often appearing long before an institution is able to respond.
In this session, we’ll discuss how colleges and universities can identify and support at-risk students earlier, strengthen engagement throughout the student journey, and create more proactive retention strategies. Learn how institutions are leveraging predictive insights, timely interventions, and scalable outreach approaches to improve persistence, increase student success, and retain more students through graduation.
