| Course Description |
This integrative course is designed for advanced MBA students to develop an understanding of how AI will redesign the enterprise, dive deeply into emerging enterprise AI in a business laboratory of new ideas presented by leaders from the field who are grappling with these issues, develop concrete skills that will help them navigate AI transformation as contributors and leaders and begin to cultivate their own understanding of what may lie at the next horizon of AI-driven change.
The course is designed to link and apply core management disciplines (organization, technology, supply chain, HR, marketing, strategy, finance and operations) with a focus on how to design change in each of these areas like a product leader.
Topics will include the changing nature of work as a result of AI being introduced to the enterprise. We will build on the basic concepts of AI for non technologists to be certain that students can issue spot AI transformation issues with technical awareness. We will discuss the difference in the rate of adoption of consumer AI vs Enterprise AI, and why the rate of adoption for Enterprise AI is much slower. We will investigate the difference between structured workflows like engineering and unstructured workflows like creative or HR, and why the rate of disruption will be much faster for structured workflows, and harder for unstructured workflows. We will consider how to deliver AI transformation through product thinking and why commonly used metrics like individual AI adoption are probably a vanity metric. Finally, we’ll investigate how AI requires us to reconsider the design of organizations as functions erode, generalists emerge, and information is no longer a question of people-networks.
In this course, we use case studies, hands-on exercises and discussion with leading practitioners to understand how to manage and lead the organizations in the age of AI. AI transformation is so new to the enterprise that case studies are not yet available for many of this course’s core topics. As a result, we will create recorded podcasts with leading practitioners currently grappling with these topics when case studies are not available. AI transformation is being hotly pursued by the world’s largest organizations, though change is being architected mostly by startups. We will investigate both, and as such this course will be relevant for large and small organizations.
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