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 PRIVAXI, a Microsoft partner, for help writing your company's Azure success story.
How is AI enhancing player performance in the NBA?
The NBA is using AI to process data on players' live body movements, analyzing factors such as speed, dunk height, number of passes, dribbles, and even injury risk. This data helps the NBA understand players' strengths and weaknesses, ultimately improving their performance. The NBA Stats Team has built a solution on Microsoft Azure that can manage and process up to 16 gigabytes of raw data per game.
What technology is the NBA using for data processing?
The NBA Stats Team utilizes Microsoft Azure, specifically Azure Kubernetes Service (AKS), to manage and process player data. This setup allows for a hybrid environment that connects legacy systems with new infrastructure, enabling the team to handle millions of data points per game with subsecond latency.
How does AI impact fan engagement during games?
AI and data analytics allow the NBA to provide real-time statistics and insights during games, such as live stat overlays on viewer screens. For instance, fans can receive instant feedback on a player's shot release height and distance from the basket, enhancing their understanding and enjoyment of the game.
NBA players are improving performance with AI on Azure AI infrastructure
published by PRIVAXI
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