AI Won’t Save Higher Ed — It Might Expose Everything That’s Broken скачать в хорошем качестве

AI Won’t Save Higher Ed — It Might Expose Everything That’s Broken

Boards are demanding AI adoption. Faculty are experimenting fast. Vendors are pushing “AI-ready” ERP solutions. But here’s the uncomfortable truth: AI won’t fix broken data, siloed departments, or mismatched reports. It will amplify them. In this episode, Richard explains what universities actually need before AI can deliver real value: an enterprise strategy aligned with mission, strong data governance, cross-functional collaboration, and leadership-driven change. If your institution still struggles with trust in data and inconsistent definitions, AI will not magically solve it. A must-watch for CIOs, institutional research leaders, and higher-ed administrators navigating the next wave of ERP + AI transformation. SEO Tags AI in higher education, higher ed CIO, AI and ERP, ERP strategy, data governance, institutional research, university data strategy, AI adoption in universities, higher education digital transformation, AI governance, higher ed IT leadership, student data privacy, AI ethics in education, AI and data quality, higher ed administration, university ERP systems, faculty AI tools, AI policy higher education, AI operational strategy, EDUCAUSE data management. Video Chapters (Timestamps) 00:00 – Introduction: AI Pressure in Higher Education 01:20 – The Risk of “AI-Ready” ERP Promises 03:10 – The Core Problem: Broken Data and Silos 05:00 – What Universities Actually Need Before AI 06:45 – Data Governance as the Foundation for AI 08:30 – Cross-Functional Collaboration Challenges 10:10 – Leadership-Driven Change and Decision Making 11:45 – Why AI Cannot Fix Inconsistent Reporting 13:10 – Key Takeaways for Higher-Ed Administrators 14:30 – Final Thoughts: AI Readiness in Universities