NBA players are improving performance with AI on Azure AI infrastructure
Imagine the amount of data generated from 30 NBA teams, more than 500 NBA players with each team playing 82 games per season! If you want to analyze that massive amount of data, not just the shots and rebounds made, but players' body movements in real time like speed, dunk height, number of passes, dribbles injury risk, you need incredible computing power and storage capability. To handle this enormous increase in data, obtained in sub-second latency, the NBA turned to Microsoft Azure for storing and processing. The NBA and Microsoft Azure are a winning combination! Read this testimonial! Contact Computer SuperCenter, a Microsoft partner, for help writing your company's Azure success story.
How is AI being used to enhance NBA player performance?
The NBA Stats Team is leveraging AI to process data on players' live body movements, including metrics like speed, dunk height, and injury risk. By using Microsoft Azure's infrastructure, they can manage and analyze up to 16 gigabytes of raw data per game, which helps in understanding players' strengths and weaknesses and optimizing their performance.
What technology supports the NBA's data processing?
The NBA has built a solution on Microsoft Azure, specifically utilizing Azure Kubernetes Service (AKS) to manage and process data. This system allows for real-time analysis of millions of data points per game, ensuring scalability and reliability in handling the data influx.
How does the NBA plan to engage fans with real-time data?
The NBA aims to deliver live stat overlays on viewer screens, providing instant feedback on player actions, such as shot release height and defender proximity. This initiative is part of a broader strategy to enhance fan engagement through detailed analytics and real-time data insights.
NBA players are improving performance with AI on Azure AI infrastructure
published by Computer SuperCenter
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