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
Agenda and Registration link coming 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.
Questions? Please contact: Xueming.Luo@temple.edu, K.Sudhir@yale.edu, Mansour.Shahhosseini@temple.edu, aimlconf2024@gmail.com.
Exemplar Topics
Human-AI interactions, AI automation augmentation/ Metaverse/ Cryptocurrency/ Robotics AI adoption and user behavior/AI voice-mining for promo and recommendations/ Reinforcement learning/ AIML with social media data/ Multi-modal algorithms for images, voice, and video data/ Bot trading and AI advisor in financial markets/AI for ad creatives and publishers/ AI applications in worker training, hiring, supervising, HR management, business strategies/ ML applications in fintech, pharma, labor market, and e-commerce/ Deepfake algorithms, privacy and ethics of new technologies/ Data breach and security/ Blockchain applications/ Future of work and unemployment/ Big data IoT, 5G, AR, and VR applications/ Public policy and regulation of AI technologies/ AI algorithm bias and fairness, interpretable ML/ Machine learning for causal inference/ ML and deep learning for statistics methods/ Machine learning for empirical IO/ Deep reinforcement learning for microeconomics theory / Healthcare applications of ML/ Multi-armed bandits for online advertising and pricing/Personalized dynamic recommendations/ AIML in B2C and B2B markets
Submission Logistics
Submit either a 3-page abstract, full paper, or 10 PowerPoint slides on this Google form.
Submission deadline: October 1, 2024. Acceptance notification date: November 1, 2024
(Acceptance of submission requires one co-author to register and present at the conference.)
Lodging
Lodging details coming soon!
Agenda
This year's agenda is coming soon; you can find last year's agenda here.
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.
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.