2023 Conference on Artificial Intelligence, Machine Learning, and Business Analytics
December 1-2, 2023
Fox Business School, Temple University, Philadelphia, Pennsylvania
Over five billion people worldwide actively engage with AI/ML, Metaverse, bots, machine-to-machine connected solutions, 5G, AR/VR, cryptocurrency, and blockchain. This conference will explore how digital, social, and mobile technologies affect business models, customer behavior, management strategies, public policy, and social changes at large. Exemplar topics include:
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, 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, 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/ AIML in B2C and B2B markets
Keynote Speakers:
Anocha Aribarg (UMich), Hemant Bhargava (UCD), Emilio Castilla (MIT), Ryan Dew (Wharton), JP Dube (Chicago), Dean Eckles (MIT), Anindya Ghose (NYU), Kartik Hosanagar (Wharton), Beibei Li (CMU), Lan Luo (USC), Xueming Luo (Temple), Puneet Manchanda (UMitch), Nitin Mehta (UT), Carl Mela (Duke), Daniel Rock (Wharton), Navdeep Sahni (Stanford), Jiwoong Shin (Yale), Andrey Simonov (Columbia), K Sudhir (Yale), Olivier Toubia (Columbia), Prasanna Tambe (Wharton), Dennis Zhang (WUSL)
Submission logistics: Submit either a 3-page abstract, full paper, or 10 PPT slides to AIML2023Conf@gmail.com, Xueming.Luo@temple.edu
Submission deadline: October 1, 2023. Acceptance notification date: November 1, 2023 (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, CMU Tepper in 2018, Temple Fox in 2019, virtual on Zoom in 2020 and 2021, and Harvard HBS in 2022. It has attracted a vibrant group of professors, industry people, and PhD students working on cutting-edge AI/ML 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. Click here for the program of 2022 conference at HBS: https://www.hbs.edu/faculty/research/seminars-conferences/Pages/event.aspx?conf=AI-machine-learning-business-analytics-conference
------------------------------
Xueming Luo
Charles Gilliland Distinguished Chair Professor of Marketing, Strategy, and MIS
Founder/Director of Global Institute for Artificial Intelligence and Business Analytics
Department of Marketing
Fox School of Business, Temple University, Philadelphia, PA 19122
------------------------------