AI and Global Business Leadership Seminars Session II
AI and Global Business is a non-technical business leadership seminar on how artificial intelligence is reshaping the way companies compete and how doing business across different countries, laws, and cultures changes what “using AI” even means. The focus is managerial judgment, not data science or programming.
The course moves in three acts: first, what AI actually is and where it creates value; second, how firms build competitive advantage with it — strategy, data, and disruption; and third, the part that most distinguishes this course, AI across borders — contrasting regulations in the United States, the EU, and China, the geopolitics of AI infrastructure, and adoption in emerging markets. The emphasis throughout is judgment over code: you will not write programs or do math.
Instead, through real business cases, hands-on work with AI tools, guest speakers from industry, the Chicago firm visit, and
in-class exercises, you will learn to evaluate AI claims, make a clear business recommendation, and defend it. At Notre Dame, that also means asking what responsible leadership requires when AI affects employees, customers, and communities.
Academic Directors
Corey Angst
Corey Angst is the Department Chair of IT, Analytics, and Operations and a Jack and Joan McGraw Family Professor of IT, Analytics, and Operations.
Corey conducts research on the transformational effect of IT, societal impacts of technology usage, and how (or if) IT creates value. Much of his existing work is set in the US healthcare context, where he has investigated the diffusion and use of disruptive healthcare innovations and the relationship to patient satisfaction, privacy and security of medical information, financial performance of hospitals, and quality of care. His recent work is examining ethical questions associated with the design, deployment, use, and societal impacts of artificial intelligence. Angst
teaches undergraduate and graduate courses in problem solving, strategic use of IT, and data exploration and visualization. He received his Ph.D. in Information Systems from the Smith School of Business, University of Maryland.
Joe Ke
Joe Ke, is the Assistant Department Chair, Director of Undergraduate Studies, and an Assistant Teaching Professor of IT, Analytics, and Operations.
Joe is passionate about teaching analytics to business students and has delivered various courses on Machine Learning, Statistics, and Econometrics at the MS, MBA, and PhD levels. His interests lie at the intersection of Data Mining and Causal Inference, focusing on interpreting unstructured data to address interesting business challenges. He is particularly interested in how consumers react to emerging technology shocks and the subsequent impact on businesses, exploring topics such as social media, healthcare analytics, and data privacy. Before joining Notre Dame, he worked as a data scientist and cloud storage engineer.