What role can artificial intelligence play in marketing? These two seemingly-disparate areas have been fruitfully exchanging ideas for at least four decades. For practitioners, what is the intersection of AI and marketing right now, and where is it going? Alan has spent his career at this intersection — developing new tools, and working with firms to bring these tools to life. In an opened-ended conversation, Alan and Andrew will discuss:
The conversation will continue with audience Q&A, including diving deeper into the challenges and opportunities unique to the retail and service industries.
Monday, April 26, 20212:00-3:00 p.m. EDTVirtual Program
All participants must register for this event. A Zoom login link will be provided before the virtual program in a confirmation email.
Register by Friday, April 23rdQuestions? Contact ENAiBLE
Dr. Alan L. Montgomery received his Ph.D. and M.B.A. in Business from the University of Chicago in 1994. He is Professor Marketing at the Tepper School of Business and has a courtesy appointment with the Machine Learning Department in the School of Computer Science at Carnegie Mellon University. Prof. Montgomery is also the Head of the Master of Science in Business Analytics program at Carnegie Mellon University. The main focus of his research is the application of analytical methods to solve marketing problems. Typically this work leverages his background in statistics, economics, and machine learning. His fields of interest include electronic commerce, retailing, and consumer financial decision-making. Some current research projects include measuring the impact of piracy on music and movie sales, dynamic user profiling using clickstream data, customization of pricing strategies to micro-markets, automated approaches to the analysis of sales data using Bayesian methods, and econometric approaches to consumer mental accounting. There are many ways to engage with Prof. Montgomery either directly on research projects or corporate sponsored student projects in business analytics.
Andrew Li is an Assistant Professor of Operations Research at CMU’s Tepper School of Business. He received his Ph.D. in Operations Research from MIT. His research develops new methods in optimization, statistics, and machine learning, with a particular focus on problems in retail and personalized medicine. He also teaches and consults frequently in both spaces.