The NBA generates an extraordinary amount of data from 30 teams and over 500 players, with each team participating in 82 games a season. To analyze not just shots and rebounds but also critical player movements like speed and injury risk in real time, significant computing power and storage are necessary. The NBA partnered with Microsoft Azure to manage this data influx with sub-second latency, shaping a successful strategy on and off the court. For assistance in developing your own Azure success story, reach out to R.B.Hall Associates, LLC, a trusted Microsoft partner.
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.
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