Higher education institutions are investing heavily in ERP modernization, analytics, and AI-driven capabilities. Yet even with these investments, many are running into the same issue: turning insight into coordinated, timely action.
Institutions don't have to solve every data problem before they can begin using AI responsibly. But they do need to treat information as a strategic asset — not a byproduct of operations — and start building toward AI-ready data now.
In a world shaped by rapid technological change and shifting economic forces, staying curious and committed to learning is the most powerful way to stay prepared.
Institutions need to move away from a reactive habit of expanding storage and towards a more deliberate data management model based on understanding and control.