Overview
December 14
11AM PT, 2PM ET
Register
Higher education IT teams are modernizing decades-old systems and meeting growing campus demand for new applications, often without additional staff or outside consultants. AI-assisted coding is changing what a small team can deliver, but only when it’s paired with structure, context, and governance.
Join us to hear how three universities are making AI a working part of how they build, test, and run software. The Ohio State University adopted a structured AI development lifecycle and reports a 20x gain in developer productivity on applications serving more than 65,000 students. George Washington University rebuilt complex ERP integrations in about four hours instead of 60 by grounding AI in decades of institutional business rules. And William & Mary’s eight-person platforms team completed a full move off its legacy virtualization platform in eight months while using AI to help manage its new environment.
You’ll leave with a practical playbook for starting small, keeping humans in charge, and expanding AI-assisted development across your institution.
Why attend:
- Improve AI results with specification-driven development.
- Ground AI in your institutional knowledge.
- Build responsible AI governance from the start.
- Turn successful pilots into broader adoption.