Core Viewpoint - The collaboration between Amazon Web Services (AWS) and the NBA marks the beginning of a new era in basketball, driven by data and AI technology, aimed at enhancing the viewing experience and unlocking unprecedented insights into the sport [2][4]. Group 1: Data Lifecycle in Sports - The partnership focuses on the complete lifecycle of game data, which includes three core steps: data collection, AI model application, and real-time processing and distribution [6]. - The first step involves creating a "digital twin" of the court, utilizing up to 14 advanced optical cameras in each NBA venue to track 29 key body points of each player at a frequency of 60 times per second, resulting in a real-time digital skeletal model [6]. Group 2: AI Insights and Innovations - The second step leverages AI models to transform raw data into actionable insights, with three revolutionary statistics being introduced this season: Defensive Box Score, Shot Difficulty, and Gravity [8]. - Defensive Box Score quantifies defensive performance by measuring pressure frequency and contribution to team defense, moving beyond traditional offensive-centric statistics [9]. - Shot Difficulty assesses the expected shooting percentage based on various factors, including the shooter's posture and the defender's proximity, providing a scientific measure of shot difficulty [11]. - Gravity quantifies the impact of a superstar player's movement on the defensive setup, illustrating their ability to create offensive space for teammates [13]. Group 3: Real-Time Processing and Value Creation - The third step ensures that insights are generated and distributed in real-time, allowing for immediate analysis and integration into broadcasts, enhancing the viewing experience for fans [15]. - The partnership also includes a media rights collaboration with Amazon Prime Video, which will broadcast 67 regular-season games and the NBA Cup, integrating AI-driven data analysis into the viewing experience [15]. Group 4: Multi-Dimensional Value Enhancement - For fans, the introduction of deep data insights transforms their experience from passive viewing to active engagement, deepening their understanding and emotional connection to the game [16]. - For teams, these insights serve as valuable assets for optimizing strategies, managing player workloads, and preventing injuries [16]. - For the league and sports media, AI enhances content production efficiency, allowing for quicker access to tactical videos and richer storytelling [17]. - Future developments in generative AI are expected to further revolutionize the sports industry by offering personalized viewing experiences and reducing the environmental impact of traditional broadcasting [17].