In the book "All-in On AI: How Smart Companies Win Big with Artificial Intelligence" by Tom Davenport and Nitin Mittal, the transformative power of AI is explored, particularly in the context of higher education. While the book briefly touches on AI as a support tool for online learners, it raises a pivotal question: What could a university's complete embrace of AI entail, extending beyond the classroom to reshape all aspects of its operations?
One key takeaway from the book is the essential role of data in successful AI strategies. Companies like Anthem, Kroger, and Capital One, highlighted in the book, enjoy an advantage over universities due to their centralized decision-making structures that prioritize data in AI initiatives. To fully commit to AI adoption, universities must integrate data governance into their leadership structure, potentially appointing a chief data officer with direct access to top leadership.
In the realm of online programs, AI has significant potential in guiding marketing strategies and program pricing through data-driven decisions. As technology advances, predictive models can become instrumental in shaping the future of higher education and addressing the competitive challenges in the landscape.
The concept of universities going "all in on AI" is not merely theoretical; it is a strategic imperative. It begins with a deep understanding of generative AI's role, extending beyond teaching and learning. Data emerges as the linchpin, requiring universities to elevate data governance to a central position in their leadership structure. Embracing AI is not an option but a data-driven future that universities must actively shape as the higher education landscape evolves.