Symposium on Artificial Intelligence in Marketing 2025
The Wisconsin School of Business at the University of Wisconsin Madison proudly presents the 2nd Symposium on Artificial Intelligence in Marketing, taking place from May 14 to May 16 in Madison, Wisconsin.
This prestigious academic gathering brings together leading researchers, scholars, and practitioners exploring the cutting edge applications of artificial intelligence in the marketing domain.
Focus Areas
The symposium centers on modern AI applications in marketing, with particular emphasis on:
- Deep Learning and Unstructured Data Analysis
- Generative AI in Marketing
- Human AI collaboration
- Algorithmic Bias and Fairness
- AI & Marketing Theory
- Probabilistic Machine Learning and Computational Methods for Marketing
Academic Keynote
K. Sudhir from Yale University will deliver the academic keynote address. Professor Sudhir serves as the James L. Frank ’32 Professor of Marketing, Private Enterprise and Management and is the Founder Director of the Yale China India Insights Program at the Yale School of Management. He leads the academic industry interface for quantitative marketing at the Yale Center for Customer Insights (YCCI).
As a pioneer in the use of structural empirical methods in marketing, Professor Sudhir has developed fundamental models in customer relationship management, salesforce management and compensation, organizational buying, and marketing channels. His research spans multiple methodologies including machine learning, quasi experiments, field experiments, and game theory, and has been recognized with numerous best paper awards from the field’s leading quantitative marketing journals.
Research Presentations
The symposium will feature groundbreaking research from scholars representing prestigious institutions across North America and beyond. Presentations will explore diverse topics including:
- Causal effects of language in marketing communications
- Transfer learning for improved targeting policies
- Foundation models for retail analytics
- AI innovation on platforms like Hugging Face
- The role of images in consumer decision making
- Deep learning applications in television advertising
- Graph contrastive learning for consumer insights
- Impacts of generative AI on job satisfaction and user generated content
- Multi task learning approaches for customer base analysis
- Large language models for media effects prediction and content marketing
- Graph representation learning for market structure inference
- Confounding robust deferral policy learning
- Generative models for optimal product design
- Predicting influencer marketing effectiveness
- AI enhanced customer journey management
- Multimodal LLMs for product Q&A enhancement
- Intent based recommendation frameworks
- Marketing video analysis with multimodal LLMs
Speakers Include:
- K. Sudhir, Yale University (Academic Keynote)
- Alain Lemaire, UT Austin
- Artem Timoshenko, Northwestern
- Daniel Ringel, UNC Chapel Hill
- David Wu, UW Madison
- Gijs Overgoor, Southern Methodist University
- JinHo Yun, Wharton
- Jiyeon Hong, George Mason University
- Khai Chiong, UT Dallas
- KB Kim, Emory University
- Leo Yeykelis, Viewpoints.ai
- Mengxia Zhang, Ivey Business School
- Mingyung Kim, Ohio State University
- Mingzhang Yin, University of Florida
- Minkyu Shin, City University of Hong Kong
- Raveesh Mayya, NYU Stern
- Ryan Dew, Wharton
- Shunyuan Zhang, Harvard University
- Tong Wang, Yale University
- Wayne Taylor, Southern Methodist University
- XingJian You, UW Madison
- Yuyan Wang, Stanford University
- Yepeng Jin, UW Madison
This exclusive symposium offers an unparalleled opportunity for academic and industry professionals interested in the intersection of artificial intelligence and marketing to engage with cutting edge research, exchange ideas, and build collaborative relationships with fellow leaders in the field.