ENAiBLE Speaker Series
Translating Cutting-Edge Research Into Business Practice
AI for Marketing: The Bleeding Edge
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:
- What are the leaders in AI-driven marketing doing right now?
- Much of AI is about automating decision-making. How does this play out in marketing today?
- What techniques have been proven "in the lab" and are ripe for adoption by industry?
- What are the most exciting open problems in AI-driven marketing? What are the practical benefits resulting from their solutions?
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, 2021 | 2–3 p.m. EDT
View a recording of the event below.
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Speakers
Alan Montgomery
Professor of Marketing; Head, MSBA Program, Tepper School of Business, Carnegie Mellon University
Alan received his Ph.D. and MBA from the University of Chicago in 1994. He is a professor of marketing at the Tepper School of Business and has a courtesy appointment in the School of Computer Science's Machine Learning Department. Alan also heads CMU's Master of Science in Business Analytics program. The main focus of his research is applying 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 Alan either directly on research projects or corporate sponsored student projects in business analytics
Andrew Li
Assistant Professor of Operations Research, Tepper School of Business, Carnegie Mellon University
Andrew 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.