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AI in ActionAI in Action explores what it takes to put artificial intelligence into action across a rapidly evolving business and tech landscape. Each episode focuses on responsible AI implementation and real-world business challenges, examined through a practical... Author: IBM
AI in Action explores what it takes to put artificial intelligence into action across a rapidly evolving business and tech landscape. Each episode focuses on responsible AI implementation and real-world business challenges, examined through a practical use case lens. Language: en Genres: Business, Management, Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it Trailer: |
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How UFC uses AI to turn data into real-time insights
Episode 19
Tuesday, 16 December, 2025
Explore the partnership → https://ibm.biz/BdbTR7In this AI in Action episode, David Levy talks with Alon Cohen about how the UFC has turned its deep history of data into clear, meaningful insights. Alon shares how the team has moved from basic number tracking to smart systems powered by machine learning, computer vision and NLP. Thanks to better data management and processing, the team can measure speed, power and even fighter intent with far more accuracy. He explains why combat sports are challenging in terms of AI and data analysis, and how IBM watsonx® helps deliver real-time insights to fans and commentators. The episode also covers why building good AI takes patience, steady improvement and the careful judgment of people who truly understand the sport.0:00 Intro04:11 Understanding MMA athletes and the culture07:17 Identifying the opportunity for statistical analysis in UFC09:28 The challenges of AI with real-time fight data16:24 How the UFC uses IBM watsonx® to power UFC Insights21:34 What data reaches UFC commentators25:14 How IBM and UFC built and trained the models31:08 How UFC measures the success of AI-driven fan experiences34:02 Advice for businesses advancing with AIThe opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
