Higher Education Institutions Establish AI Centers of Excellence to Enhance Campus-Wide Adoption
Higher education institutions are increasingly establishing AI Centers of Excellence (CoE) to streamline and enhance the adoption of artificial intelligence across campuses. According to Louis Stewart, head of strategic initiatives for the developer ecosystem at NVIDIA, these centers serve as a centralized team and operating model that make AI usable throughout the institution. Without such a structure, AI adoption can become fragmented, with different departments using varied tools and standards, leading to risks around privacy and academic integrity. The CoE aims to align advanced research workflows with systems that impact all students, ensuring AI remains a campus-wide capability rather than a siloed effort. At New York University, the AI CoE focuses on keeping the institution safe, enabling innovation, and making it visible across a distributed environment. This approach addresses the rise of 'shadow AI,' where unsanctioned tools are used across campuses, by providing clear guidance and vetted tools f... 
