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, and 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 Swerve Limited, a Microsoft partner, for help writing your company's Azure success story.
How is AI being used to enhance NBA player performance?
The NBA 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, the NBA Stats Team can manage and analyze up to 16 gigabytes of raw data per game, which helps them understand players' strengths and weaknesses in real time.
What technology supports the NBA's data processing?
The NBA has built a solution on Microsoft Azure, specifically using Azure Kubernetes Service (AKS) to manage various AI models. This setup allows for real-time data processing and analysis, capturing millions of data points per game with subsecond latency, which is essential for delivering insights during live play.
How does the NBA plan to use AI for fan engagement?
The NBA aims to provide live statistical overlays on viewer screens, offering instant feedback on player actions, such as shot release height and defender proximity. This initiative is part of their broader goal to engage fans more deeply by delivering detailed insights and metrics that enhance their understanding of the game.
NBA players are improving performance with AI on Azure AI infrastructure
published by Swerve Limited
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