2024 Conference on Artificial Intelligence, Machine Learning, and Business Analytics
Friday, Dec 6 - Saturday, Dec 7 2024
Edward P. Evans HallYale School of Management
165 Whitney Avenue
New Haven, CT 06511
United States
This Conference has ended.
Thank you to all presenters, organizers, and attendees for such a successful and insightful 2024 Conference!
Presentations and papers will be shared soon.
Since 2014, this conference has attracted a vibrant group of professors, industry leaders, and PhD students working on cutting-edge AI/ML models and data in inter-disciplinary fields and serves as an intellectual bridge for AI/ML researchers across computer science, economics, statistics, marketing, management, finance, strategy, IS, healthcare, education, and public policy, among others.
Over five billion people worldwide actively engage with AI/ML, Metaverse, bots, machine-to-machine connected solutions, 5G, AR/VR, cryptocurrency, and blockchain. Join us to explore how digital, social, and mobile technologies affect business models, customer behavior, management strategies, public policy, and social changes at large.
Keynote Speakers
Alex Burnap (Yale)
Natalie Carlson (Wharton)
Tat Chan (WashU)
Hortense Fong (Columbia)
Anindya Ghose (NYU)
Kartik Hosanagar (Wharton)
Zhenling Jiang (Wharton)
DK Lee (Boston)
Xiao Liu (NYU)
Lauren Lu (Dartmouth)
Xueming Luo (Temple)
Sridhar Narayanan (Stanford)
Oded Netzer (Columbia)
Andrey Simonov (Columbia)
K. Sudhir (Yale)
Olivier Toubia (Columbia)
Tong Wang (Yale)
Shunyuan Zhang (Harvard)
Agenda
The 2024 agenda can be found here.
Conference History
This annual conference was hosted at Chicago Booth in 2014, NYU Stern in 2015 and 2017, Stanford GSB in 2016, CMU Tepper in 2018, Temple Fox in 2019 and 2023, virtual on Zoom in 2020 and 2021, and Harvard HBS in 2022.
Conference Organizers
K. Sudhir is James Frank Professor of Marketing and Director of the China India Insights Program at the Yale School of Management. As a pioneer in the structural empirical industrial organization area of marketing, he has introduced multiple workhorse models for marketing channels, business-business markets, salesforce management, and marketing job design. His recent research has included machine learning and Generative AI. He served as Editor-in-Chief of Marketing Science from 2016-21. Read more here.
Xueming Luo is the Charles Gilliland Distinguished Chair Professor of Marketing, Professor of Strategy and MIS, and Founder/ Director of the Global Institute for Artificial Intelligence & Business Analytics (formerly known as Global Center for Big Data and Mobile Analytics) in the Fox School of Business at Temple University. His research focuses on integrating artificial intelligence, 5G/AR/VR business applications, big data machine learning, and field experiments to model, explain, and optimize customer behaviors, company strategies, and platform economy. Read more here.
