The National Football League has launched a “digital athlete” partnership with Amazon’s AWS division to help leverage artificial intelligence and machine learning to improve player health and safety. The technology initiative studies players’ actions during practices, practices and games, Fox Business News reported. The partnership between the NFL and Amazon AWS will be adopted by all 32 NFL clubs in an effort to provide personalized insights into injury prevention and improvements in player safety.
The Digital Athlete helps teams make data-driven decisions to determine training regiment, reduce potential injuries while improving player performance.
In addition to the NFL, professional sports teams from the National Basketball Association, Major League Baseball and other sports leagues are using AI to build athletes’ performance and health safety, with the goal of preventing career-ending injuries and improving skills and improve players’ careers. all parties involved, including the professional athletes, coaches, physicians and marketing teams.
How AI is used
The business aspect of AI: the Milwaukee Bucks
AI also helps improve operations and player performance for the Milwaukee Bucks basketball franchise by becoming the “sixth man.”
The team’s management uses AI to improve its marketing and sales efforts. The Bucks are using the fast-growing technology to connect with their fan base more efficiently and effectively and sell more tickets and merchandise. The team worked with Conversica, a conversational AI provider, to implement the technology.
In an interview with Jim Kaskade, CEO of Conversica, and Ben Conrad, vice president of digital marketing and automation for the Milwaukee Bucks, they discuss the use case of AI.
“Our use of Conversica and our AI Assistant isn’t just about efficiency; it’s also about improving the skills, productivity and careers of our sales and marketing teams,” said Conrad.
“As we embrace AI and automation, the roles within our marketing group are poised for expansion. As the availability of data continues to grow, so do the opportunities for our marketing and sales roles. The integration of AI into our MarTech stack not only streamlines processes, but also propels our small team to an All-Star level, increasing revenue and presenting new career prospects in the dynamic field of marketing technology. This technology shift not only increases efficiency, but also creates a path for career growth and skills development within our teams,” he added.
The Bucks use AI with chat box ‘Emma’ to provide a friendly chat experience for Bucks fans who have questions or want to learn more about upcoming special events.
Even for a successful franchise, ticket sales are a challenge. Attending a sporting event is expensive when you factor in ticket prices, commuting to an arena, and purchasing food, drinks, and merchandise. In an uncertain economy with high inflation and rising costs, companies compete to win over consumers.
Predictive analytics management can better identify potential season ticket buyers based on past sales, demographics, marketing and engagement. AI can make recommendations for ticket packages and upgrades, based on data analysis. To stay ahead of their audience, the Bucks send automated emails, text messages and ads with relevant content to re-engage former ticket holders and drive new purchases.
Performance and skills evaluation
AI can help improve the performance of Major League athletes by using the technology for performance analysis and predictions. By analyzing large amounts of data, AI algorithms can identify patterns and trends that may not be apparent to human coaches and trainers. This can help athletes optimize their training and improve their performance on the field.
MLB uses Statcast, an AI tool that assesses player movement, pitch speed, launch angles and exit speeds. This extensive data collection provides valuable insights for players, coaches and fans, helping to predict player performance and prevent injuries. Stats Perform’s ProVision provides performance data for multiple sports, including aspects such as batting and bowling performance.
Seattle Sport Sciences uses AI to evaluate soccer players’ skills, including foot preference and first touch, by mapping 23 touch points and collecting player data. The company also works with the International Federation of Association Football to calibrate goal-line technology, ensuring accurate and fair game results. Xonic Golf’s app uses computer vision AI algorithms to evaluate golfers’ swings.
Health and safety
AI is used in sports to improve player performance through detailed analytics to prevent injuries by analyzing and predicting risky movements.
By monitoring biometric data and movement patterns, AI systems can detect early signs of possible injury and recommend injury prevention exercises and recovery strategies.
The NFL will use a range of data collection methods, such as sensors in shoulder pads and mouthguards, to monitor players’ real-time location, speed, acceleration, distance and the frequency and intensity of head impacts.
In addition, AI will be used in the analysis of game footage through computer vision and machine learning to automate the synchronization of data points and run simulations to better understand injuries. This technology aims to predict injuries, allowing teams to adjust training loads and take measures to reduce the risk of injuries. The technology is not intended to replace the NFL’s medical teams, but to help trainers manage players’ training regimens more efficiently.
Other use cases for AI in sports
The NBA, NHL and PGA use AI to operate, ensure accuracy and help enforce rules. It is used to verify close calls, identify penalties and review controversial plays. It also helps inform safety protocols regarding player position, type of play and choice of equipment.
AI-powered virtual reality and simulation technologies can also be used to create realistic training scenarios and allow athletes to practice and improve their skills in a safe and controlled environment.
The technology can analyze volumes of game data, allowing a team to gather valuable insights into an opponent’s strategies and player quirks. Coaches can use this information to develop game plans and make in-game adjustments based on data, not just hunches and gut feelings.