AI in Sports – Wharton Professors Adi Wyner and Cade Massey | AI in Focus Series
Episode Description
EPISODE OVERVIEW Wharton professors Adi Wyner and Cade Massey join Eric Bradlow, vice dean of Analytics at Wharton, to discuss how AI – along with statistics and data science – can assist with tracking data, player evaluation, making predictions, and more. This interview is part of a special 10-part series called "AI in Focus."
Topics and questions covered: 00:00 - Introductions 1:48 - How does AI differ from statistics? 4:15 - How are companies reacting to AI? 7:25 - Current trends in sports analytics 11:01 - Why use theory in data analytics? 14:03 - Are firms turning to data-based solutions? 19:14 - Innovative uses of AI in sports 22:31 - Risk-aversion when using AI
SERIES OVERVIEW The artificial intelligence revolution is officially upon us. Hear from host Eric Bradlow, Vice Dean of Analytics at Wharton, as he meets with Wharton faculty experts across a wide range of business domains – from healthcare and neuroscience to sports and the auto industry – to learn how AI will impact these fields moving forward, and what we can do to stay ahead of the curve.
----- The Wharton School of the University of Pennsylvania is committed to sharing its intellectual capital through Knowledge at Wharton, the school’s online business analysis journal.
Launched in 1999, Knowledge at Wharton offers free access to:
- Articles, podcasts, and videos highlighting Wharton faculty research and analysis of current business trends - Interviews with book authors from Wharton School Press - In-depth series of curated content like Wharton Executive Education’s Nano Tools for Leaders - A searchable database of more than 10,000 articles covering all aspects of business - A weekly newsletter that delivers Knowledge at Wharton insights directly to your inbox
Visit the Knowledge at Wharton homepage: https://whr.tn/3qUpSBE Subscribe to the Knowledge at Wharton YouTube channel: https://whr.tn/3DEAgAU 📂 Analytics;Technology;AI 🏷️ Research;AI in Focus
Brief Summary
Kade Massie and AI Wier discuss AI, statistics, and their impact on sports analytics, emphasizing trust in models and future developments.
Key points
- AI and Statistics: A Blending. AI and statistics have a complex relationship, blending methods for better decision-making.
- Algorithm Aversion in Decision-Making. People are often reluctant to trust algorithms over human judgment, even when models outperform.
- The Importance of Data in Sports Analytics. Sports teams are increasingly recognizing the value of quality data over quantity.
- The Role of Data Science. Data science is crucial for integrating datasets and building infrastructure in organizations.
- Uncertainty in Decision Making. Understanding uncertainty is key in sports decision-making, especially when using models.
- Future of AI in Sports. Experts predict significant advancements in player evaluation and injury prediction in the next decade.
Ask about Knowledge at Wharton
Episode highlights
- AI and Statistics: A BlendingAI and statistics have a complex relationship, blending methods for better decision-making.“AI was designed to try to figure out how people think.”2:10Nov 10, 2023
- Algorithm Aversion in Decision-MakingPeople are often reluctant to trust algorithms over human judgment, even when models outperform.“There’s an asymmetry between the penalties humans apply to models versus themselves.”5:34Nov 10, 2023
- The Importance of Data in Sports AnalyticsSports teams are increasingly recognizing the value of quality data over quantity.“Increasingly teams do see the opportunity.”14:53Nov 10, 2023
- The Role of Data ScienceData science is crucial for integrating datasets and building infrastructure in organizations.“This is not traditional data science; it’s vital to how data is used.”19:13Nov 10, 2023
- Uncertainty in Decision MakingUnderstanding uncertainty is key in sports decision-making, especially when using models.“Most people think it’s a yes/no decision when it’s really not.”21:25Nov 10, 2023
- Future of AI in SportsExperts predict significant advancements in player evaluation and injury prediction in the next decade.“Every team will have a substantial staff doing the routine things that need to get done.”25:55Nov 10, 2023
