AI App Takes Center Court at the US Open, from Bloomberg Podcast
Sam Querrey, a former pro known for his powerful serve, commented on the growing prevalence of data in sports. He stated, “The data has gotten so much more aggressive for all athletes in the last couple years.” Querrey sees significant value in the app for coaches, allowing them to distill complex data into actionable insights for their players. “As a player, I can’t think about 15 to 20 different things if I’m returning or serving. That’s where the coach comes in. If there’s data that they can look at that’s obvious, they can then give that to the player, and the player can kind of go with those three or four bullet points.”
Enhancing Fan Engagement and Match Storytelling
Beyond individual performance metrics, the IBM app introduces a ‘match chat’ feature, building on last year’s capabilities. This allows for natural language processing to answer user questions, now enhanced with the integration of photos and videos for a richer interactive experience. Furthermore, the ‘key moments’ feature aims to provide a deeper narrative of the match.