You already know the problem. Decades of student records, course histories, engagement signals, and enrollment outcomes are scattered across systems that were never designed to work together. The result is an institution rich in data but starving for connected insights needed to operate more efficiently and better serve the students who need it most.
For students at risk, first-generation learners, and populations institutions are committed to serving, fragmented data isn’t just an IT challenge. It can limit timely, personalized support that improves outcomes.
As colleges and universities explore artificial intelligence (AI), many are discovering that successful AI initiatives depend less on selecting the right technology and more on building the right data foundation. Intellicampus has spent years working alongside presidents and their teams to understand exactly where breakdowns happen and what institutions need to address before AI can deliver meaningful value.
This leadership discussion explored:
- Why data fragmentation can undermine AI initiatives in higher education before they begin
- Why AI strategy is ultimately an institutional leadership challenge and not just a technology project
- What a governed, auditable data foundation looks like and why it matters for institutional trust and student success
- Lessons learned from a design partner institution
Watch this conversation to consider the realities of implementing AI on campus, the governance decisions shaping its future, and the practical steps institutions can take to build a trusted foundation for long-term success.
Speakers