Revisit: Artificial Intelligence, Machine Learning and Digital Analytics


Philadelphia, 12-13 Dec 2019; Deadline now 7 Oct

2019 Conference on Artificial Intelligence, Machine Learning, and Business Analytics

December 12-13, 2019
Philadelphia, Pennsylvania

Co-organized by

Stern School of Business, New York University
Heinz College, Carnegie Mellon University
Fox School of Business, Temple University

Over five billion people worldwide actively engage with AI, bots, machine-to-machine connected solutions, wearables, Internet-of-Things, 5G, AR/VR technologies, Fintech, Mooc, and blockchain. This conference will explore how digital, social, and mobile technologies affect business models, customer behavior, public policy, and social changes at large. Exemplar topics include:

AI automation/ Robotics AI adoption and user behavior/AI chatbot voice-mining for promo and recommendations/ Bot trading and AI advisor in financial markets/AI for ad creatives and publishers/ AI applications in worker training, hiring, and supervising/ ML applications in fintech, pharma, and e-commerce/ Privacy and 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, 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/ Contextual MAB for personalized dynamic recommendations/ MOOC education online with ML and AI NLP with social media text data for targeting/ ML for images, voice, and video data B2B markets with ML and AI

Confirmed Keynote Speakers: Ravi Bapna (Minnesota), Ryan Dew (Wharton), Anindya Ghose (NYU), Szu-Chi Huang (Stanford), Nan Jia (USC), Dokyun Lee (CMU), Beibei Li (CMU), Xiao Liu (NYU), Michael Luca (Harvard), Xueming Luo (Temple), Puneet Manchanda (Michigan), Harikesh Nair (Stanford), Oded Netzer (Columbia), Param Singh (CMU), Michael Smith (CMU), K. Sudhir (Yale), Roland Rust (Maryland), Prasanna Tambe (Wharton), Gerry Tellis (USC), Artem Timoshenko (Kellogg)

Submission logistics: Submit either a 3-page abstract, full paper, or 10 PPT slides to and cc the conference co-chairs:,,

Submission deadline: October 7, 2019. Acceptance notification date: October 20, 2019 (Acceptance of submission requires one co-author to register and present at the conference)

This annual conference was hosted at Chicago Booth in 2014, NYU Stern in 2015 and 2017, Stanford GSB in 2016, and CMU Tepper in 2018. It has attracted a vibrant group of professors, industry people, and PhD students (each year max 150 people) working on cutting-edge ML AI models and data in inter-disciplinary fields. This conference serves as an intellectual bridge between computer science, economics, statistics, marketing, management, finance, strategy, IS, healthcare, education, public policy, and others. See more details online:

Conference Tentative Schedule:

Thursday, Dec 12, 2019
8.00 AM – 9 AM: *Registration & Breakfast *Conference Chairs Welcome
9 AM – 10.30 AM: Plenary Session 1
10.30 AM – 11 AM: Coffee Break
11 AM – 12.30 PM: Concurrent Sessions 1
12.30 PM – 1.30 PM: Lunch
1.30 PM – 3.00 PM: Plenary Session 2
3.00 PM – 3.30 PM: Coffee Break
3.30 PM – 5 PM: Concurrent Sessions 2
6PM – 9 PM: Conference Reception, Dinner (including a special industry & academic panel)

Friday, Dec 13th, 2019
8.00 AM – 9 AM: *Registration & Breakfast
9 AM – 10.30 AM: Plenary Session 3
10.30 AM – 11 AM: Coffee Break
11 AM – 12:30 PM: Concurrent Sessions 3
12:30 PM – 1:30 PM: Lunch
1.30 PM – 3.00 PM: Plenary Session 4
3.10 PM – 4.10 PM: Concurrent Sessions 4
Conference Adjourns