How UFC uses AI to turn data into real-time insights

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In 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 Intro

04:11 Understanding MMA athletes and the culture

07:17 Identifying the opportunity for statistical analysis in UFC

09:28 The challenges of AI with real-time fight data

16:24 How the UFC uses IBM watsonx® to power UFC Insights

21:34 What data reaches UFC commentators

25:14 How IBM and UFC built and trained the models

31:08 How UFC measures the success of AI-driven fan experiences

34:02 Advice for businesses advancing with AI

The 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.