The document explains that AI and ML are now essential in higher education, with applications across admissions, student success, operations, research, and retention. As student data grows, AI supports personalized recruiting, automated transcript processing, targeted marketing, early-alert retention models, and student 360 insights that unify data from LMS, registrars, and student life. The pandemic accelerated adoption, pushing institutions to improve hybrid engagement, proctoring, and fraud prevention. It also stresses responsible AI, highlighting Quantiphi’s framework for privacy, fairness, governance, and transparency. Institutions are urged to evaluate vendors carefully and build a clear AI roadmap.

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