Overview
How can generative AI help companies create better products, not just predict what customers will like? In this session, Haihao Guo will share a practical example from the music industry: using data and GenAI to understand what makes songs commercially successful and how those insights can guide new product design. Using large-scale music data, Haihao studies how today’s songs relate to past successful styles and shows how AI can identify design directions that are more likely to resonate with listeners. He will also discuss a generative AI application where existing songs are redesigned based on data-driven guidance and then evaluated by real listeners. The session will highlight broader lessons for businesses interested in using AI for product innovation, creative decision-making, and consumer insight. Attendees will leave with a clearer view of how AI can move beyond automation and become a practical tool for designing products that better match market demand.
About the Presenter
Haihao Guo is a Ph.D. candidate in Quantitative Marketing at Washington University in St. Louis. He holds a master’s degree from the University of Chicago and has worked at Disney and ByteDance(TikTok). Combining academic research with industry experience, his work focuses on how firms can use data, machine learning, and generative AI to improve product design and better understand consumer demand. His current research studies music and entertainment products, using large-scale data and AI tools to generate practical guidance for creators, platforms, and firms.
Who should attend?
This event is open to both business and technical analytics professionals.
Zoom Event
After you complete registration, a calendar invite with a Zoom link will be sent to you within a few hours.
Schedule
Wednesday, June 24, 2026
11:30 a.m. – 12:30 p.m. CST
Questions?
Center for Analytics and Business Insights, WashU Olin Business School
Katie Cannady, Program Manager