9 ways artificial intelligence (AI) can change the landscape of the sports industry

9 ways artificial intelligence (AI) can change the landscape of the sports industry

In all areas (health, education, marketing, production and sports), AI has managed to outdo itself. The sports industry is rapidly being transformed by artificial intelligence, like all other important sectors. AI has touched all aspects of sport at quantitative, statistical and analytical levels. The sports market has grown considerably. Game nights have become very popular thanks to crazy enthusiasts who have brought in a lot of money. Without merchandising, sponsorship, media payments and advertising, the sports industry fails. Online apps are also part of the modern era of sports. Ports coaches have been using data science for 20 years to help their players perform better. They used big data to facilitate split-second judgments on the pitch and turned to sports analytics to help sign off on the “next big thing”. Football referees are increasingly using Video Assisted Technology (VAR) to help with decision-making on major issues such as penalties, free kicks and red cards. And the sports experience is going to change a lot more now that AI, especially Deep Learning, is involved. Let’s see how artificial intelligence is being used to help sports and how it can successfully revolutionize the industry:

  1. Identify talent

There are a ton of budding athletes. A team is only allowed a certain number of members. Therefore, finding potential candidates in a large crowd might prove difficult. The simple solution to this is data science models. Machine learning models specify particular assumptions and analyses. They use sophisticated algorithms to filter leads. The model makes speculative predictions while considering a wide range of standards. The procedure helps to select a very promising team. In-depth data analysis also helps identify specific player strengths and weaknesses. Artificial intelligence therefore effectively promotes the search for athletic abilities.

  1. Personalized diet and exercise programs

The training and nutrition regimens of elite athletes have improved dramatically over time. The use of artificial intelligence in sport has the potential to support the adaptation of training and diets. Research has already produced encouraging results regarding the use of AI in bodybuilding.

  1. Player efficiency

Artificial intelligence is applied in sports through predictive analytics to improve performance and health. Athletes can avoid major injuries through the development of wearable devices that collect data on stress and wear levels. But this is only the beginning. Teams can use AI to develop strategies and tactics and leverage their strengths. Thanks to AI, player performance analysis has surpassed all previous levels. Coaches can modify their teams’ tactics and strategies to take advantage of their opponents’ shortcomings by using data and charts to gain insight into their teams’ strengths and weaknesses on any given day. Three tests using video footage are used to determine the most effective automated player monitoring technique:

  • Only use motion detection for tracking
  • color tracking
  • Combined color and pattern monitoring
  1. exercise plan

Artificial intelligence is incredibly smart; it determines a player’s skills and provides an effective training program based on research statistics. The model runs several player research experiments, including standard inspections. This information is collected, reviewed and a complete table is created. The monocentric strategy instantly increases production. Artificial intelligence (AI) models can assess player compatibility and suggest grouping strategies. These models are also included, both numerically and qualitatively, in a variety of sports equipment, including Fitbit, fit smart, etc. They monitor vital signs in real time, including heart rate and blood pressure.

  1. Audience participation

The use of artificial intelligence to drive engagement is widespread. The audience of sports enthusiasts is huge and it can be difficult to please such a large fan base. The most important concern when planning leagues is spectator comfort and atmosphere: AI-powered retail, restaurant, ticketing areas, etc. the seating configuration. Additionally, audience type and preferences are taken into account as sophisticated algorithms are used to filter the seating arrangement. Additionally, user preferences can be taken into account when modifying availability, such as parking, dining options, and restrooms using AI models.

  1. Assist the referee

An ethical adventure is a sport. Sportsmanship is an inviolable quality. Therefore, the judging community is solely responsible for providing fair results. The artificial intelligence algorithm prevents unfairness from happening, although players may ignore certain odds in the heat of the moment. The AI ​​model closely monitors the game and gives every aspect in real time with a few touches. As a result, it improves fairness and fosters a sense of trust between players and spectators. The theory is based on many images, sounds and other elements rather than a single characteristic.

  1. Security

The player cannot be prevented from falling between two games. But, injury trends can be recorded and the player can be alerted to pay attention to a particular region. Additionally, AI models are crucial in sports racing vehicle competitions. Before giving these autos to players, the AI ​​first tests them.

  1. Sports research

There has been a lot of interest in sports knowledge recently. People are enrolling in sports-related courses and looking for coaching and professional jobs. The education sector is booming. Fanatics drive up the demand for new businesses. Consequently, there is an even greater need for sports institutions, specialists and coaches. Humans are prone to making mistakes. AI thus helps to eliminate these human errors. Artificial intelligence greatly helps sports education by providing statistical data to develop changes and breakthroughs. This technology makes it possible to discover hidden evils that may seem minor but have catastrophic results. As a result, AI sometimes proves to be a lifeline.

  1. Ticketing

Elite sports teams still have admission delays in 2022. After the game started, thousands of Southampton FC supporters waited outside and had to be reimbursed. During major sporting events, it is not uncommon for fans to experience difficulty getting into stadiums in time for the game. In fact, it has been going on for years. Nothing could solve the problem until today (potentially). Stadium crowd density is monitored by computer vision and staff members receive alerts when certain areas become crowded. Additionally, predictive analytics can predict how many people will be there and when they are likely to appear. This organization of goods and food facilitates the satisfaction of demand.

Theoretically, implementing AI in sports makes sense, but it can’t come at the expense of the viewer experience. For example, while using facial recognition to speed up entry into stadiums and allow fans to enter without the need for tickets, it avoids bottlenecks, it also eliminates the turnstile, which for many fans of European football at least, is associated with a romanticized image of match day. . But AI is unquestionably the technology of the future for sport. However, we haven’t quite reached the final frontier; we’re probably just getting started.


Amreen Bawa is an intern consultant at MarktechPost. In addition to pursuing BA Honors in Social Sciences at Panjab University, Chandigarh, she is also an avid learner and writer, with particular interest in the application and scope of artificial intelligence in various facets of life.


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