Five important AI application areas in the sports industry

The entry of data science and artificial intelligence into sports analysis has become commonplace. And, as technological precision impacts sports more and more deeply, there is no doubt that it will continue to thrive in the industry.

According to Acumen Research and Consulting, the global sports market for artificial intelligence is expected to develop at a compound growth rate of more than 32.8%, reaching a market value of approximately US$3.5559 billion between 2020 and 2027.

Statistics and quantitative analysis have always been important in sports, and artificial intelligence is having a major impact on how events are planned, played and watched.

This trend can be seen in baseball, tennis, football, American football, basketball, F1 and various other sports. While sports organizations have a vast and growing amount of raw data, this data may now be fully leveraged to increase the value of their organizations in all areas, from ticket sales to player injury prevention.

Today we learn about the super application of artificial intelligence in the sports industry and see how artificial intelligence is paving the way for the sports industry.

GUIDANCE AND TRAINING

With the advent of artificial intelligence, coaches and trainers are no longer entirely dependent on (or limited to) their expertise and experience in certain areas. They can adjust their strategies and plans to improve player performance and make better match-day arrangements with the help of various parameters.

Coaches’ strategic decisions before, throughout and after games are guided by AI platforms that use wearable sensors, high-speed cameras and real-time footage to provide data reference. Examples include measuring forward passes, penalties, and many other sports metrics.

Leveraging MLB (Major League Baseball)-based algorithms, coaches can use data and graphics to understand their team’s strengths and weaknesses on any given day, allowing them to make tactical and strategic adjustments to take advantage Opponent's play patterns and weaknesses.

This data-driven player research builds stronger training programs for their teams when it comes to building training programs for athletes, game tactics, performance analysis and The impact of predictive models is even greater.

Player Performance

Artificial intelligence makes it easier than ever to improve athlete performance. For example, computer vision is used to track and analyze human movement.

According to the "Artificial Intelligence in Sports Market: 2019-2024" report released by ResearchAndMarkets.com, individual and team performance in sports will increase by an average of 17% and 28% respectively.

This applies to all sports including football, tennis, cricket and golf. Through applications such as HomeCourt, computer vision and machine learning are used to evaluate basketball players' abilities, which provides them with a suitable platform to improve their abilities.

#Cameras are collecting data, and the time and space trajectories of all athletes will become the final result. These athlete trajectories provide sports experts with important information about athlete ability and performance.

Not only is recording performance metrics reliable, but it can also help players identify where they have the greatest potential to excel and where they still need to grow.

Athlete Recruiting

In the sports industry, artificial intelligence can be used to evaluate the performance of potential recruits. Sports teams are increasingly using individual performance data to measure player health and potential.

Before choosing to invest in a player, various technologies powered by artificial intelligence, big data and machine learning can help track his or her performance and past statistics (passing, running, goals, etc. ) to estimate their future potential.

Essentially, machine learning algorithms “evaluate an athlete’s talent and overall potential and classify them into different categories based on aggregated data.” Teams can also use computer vision to identify specific characteristics to help predict future success and track player movements and physical conditioning.

It can also be used to assess a player's market value in order to provide the best offer when recruiting new talent. This also benefits athletes, as the use of AI-based technology reduces bias in recruiting and helps identify potential talent, especially where a sport is not widely practiced.

Professional Media: Broadcasting, Streaming and Journalism

Artificial intelligence appears to be on the verge of revolutionizing sports reporting. In addition to changing the sports world for coaches and players, AI is also having a significant impact on how fans experience sports.

Learning algorithms can be used to automate a variety of video production tasks, including camera shooting and zooming in on key live action, and automatically selecting the best camera viewpoint to display on the audience's screen (which previously required the combined efforts of an experienced photographer and director) Get this done), provide multilingual subtitles for live events based on the geolocation of viewers, and enable broadcasters to monetize their content through advertising.

Artificial intelligence systems have also been integrated into the content production of sports news. With thousands of sporting events taking place on a regular basis, AI bots are currently being used to generate accurate match reports, cover key events, provide statistics and data, and cater to sports fans by maintaining a traditional reporting style over time Developed habits.

Artificial intelligence is currently used in sports marketing to produce game videos or event highlights. If done manually, this operation might take a long time. Artificial intelligence can complete these tedious tasks in real time.

The media can also use artificial intelligence methods to focus on the focus of the game, thereby shortening the manpower and time required for reporting.

FITNESS, HEALTH & SAFETY

Artificial intelligence (AI) is changing the healthcare industry in various ways, with the sports industry also benefiting from it.

AI’s incredible predictive and diagnostic skills may also be used in sports, where physical health and fitness are paramount.

To ensure player health and fitness, teams are increasingly embracing technology in player health care. Wearable technology is being used to monitor players' movements and body metrics during training to maintain their overall health.

To analyze their health and even detect early signs of musculoskeletal or cardiovascular problems, stress-related injuries, athletes undergo regular fitness tests, using artificial intelligence to track various health variables and athlete actions.

This can help sports organizations’ medical staff keep athletes healthy and injury-free. Artificial intelligence technology is used to analyze the data stream received by the wearable device in real time.

This allows sports teams to keep their most important assets in top condition throughout the long season.

In addition to the above mentioned, artificial intelligence has more application scenarios in the sports industry, such as ticketing, refereeing, enhanced fan experience, game prediction, etc., and each step is changing the industry.

Artificial intelligence is impacting almost every professional sport. Considering the importance of artificial intelligence in sports, it is not easy to overlook its role in winning games, improving coaches and players, managing operations, developing, serving and retaining fans. etc. potential would be unwise.

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