IDC PlanScape: Generative AI in Higher Education

IDC PlanScape: Generative AI in Higher Education


This IDC PlanScape serves as a strategic guide for higher education IT leaders and discusses the importance and implications of GenAI for institutions around the world. The document provides key details to help higher education IT leaders understand what GenAI is, what solutions are available in the market, and the challenges and opportunities the technology introduces for the industry. It further outlines the key stakeholders involved in GenAI deployment and provides advice for higher education leaders to help them get started on their GenAI journeys."While nearly all industries are feeling the impact of GenAI, perhaps no industry has felt that impact more dramatically than higher education. GenAI has simultaneously captured the attention, imagination, and grave concern of higher education technology and institutional leaders across the world. While it is still very early days for this emerging and rapidly evolving technology, it is critical for higher education institutions to embrace GenAI to truly understand its implications and adapt with it," said Matthew Leger, senior research manager for IDC's Worldwide Education Digital Strategies research program.

Please Note: Extended description available upon request.


IDC PlanScape Figure
Executive Summary
Why Is Generative AI Important to Higher Education?
Enhance Operations and Data-Informed Decision-Making
Reimagining Faculty, Staff, and Student Experiences
What Is Generative AI?
GenAI Did Not Appear Overnight
Who Are the Key Stakeholders?
How Can My Institution Take Advantage of Generative AI in Higher Education?
Foundational Activities
Core Generative AI Technologies
The GenAI Model Landscape by Vendor and Model Category
Security and Privacy
Infrastructure and Platforms
Software Platform Implications
GenAI-Infused Applications
Defining and Prioritizing the Use Cases
Defining a Trust and Oversight Program
Advice for Higher Education Leaders and Technology Buyers
Related Research

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