Application of artificial intelligence in sports; When Moneyball was released, no one thought it would become a reality in the next decade!
In this movie, the Auckland baseball team suffers from a financial crisis and is forced to sell its team stars. With the help of his friend, Bilibin, the director of this team and the main role of the film, selects and drafts the actors using sophisticated computer analysis and statistical data. Bailey eventually succeeds in using these complex formulas to defeat his powerful rivals.
A decade after the release of this film, we are witnessing evolving leaps in sports with the use of new technologies. Statistics have always played a key role in sports, but today, with the help of artificial intelligence, you can design a successful strategy for how to play with your sports competitors and even measure the level of interaction with the audience.
Application of artificial intelligence in sports
The use of artificial intelligence in sports and in various fields, from refereeing to the way the team is organized today, has been considered and used in advanced areas in this field, and with the increasing development of artificial intelligence, we will see great changes in his ministry. In this article, we will review some of the uses of artificial intelligence in sports.
1.Coaching developed with the help of AI
Artificial intelligence has a great impact on coaches’ strategic decisions, before, during and after the game. With the help of wearable sensors and high-speed cameras, AI operating systems measure a forward pass, a penalty kick, LBW in cricket and many similar actions in various sports. This data helps coaches to best prepare players for competition. This data-driven analysis of players with quantitative and qualitative variables helps coaches prepare better training programs for their team.
3.Improve player performance
Artificial intelligence is also used to improve and enhance players’ performance. Programs like HomeCourt use Computer Vision and Learning Machine to assess the skills of basketball players and provide a good space to develop players’ skills. Recording athletes’ performance metrics is invaluable and helps players identify their strengths and weaknesses, use their strengths intelligently, and improve their weaknesses.
3.Exercise or exercise using virtual reality (VR)
Virtual reality (VR) has added another dimension to sports and gamification because now with virtual reality headsets, enthusiasts can compete virtually with each other from around the world. Virtual reality with the help of artificial intelligence provides real experiences in a virtual environment that corresponds to live viewing of the game. Also, with the advent of 5G, such experiences become more interactive and the sports industry changes forever.
4.sport News
Using natural language processing power (NLP), artificial intelligence can completely change the profession of journalism and journalism. With the advent of automated news agencies, sports news is also heavily influenced. Artificial intelligence uses the sports data it receives from various media and stadiums to start producing and disseminating sports news from its data. For example, software such as Wordsmith can process sports events to provide a summary of important events of the day.
5.Improvements in holding sporting events for audiences inside and outside the stadium
In addition to revolutionizing the world of sports for coaches and players, artificial intelligence has a significant impact on how sports audiences experience and interact with them. Artificial intelligence systems can be used to automatically select the right camera angle for viewers of sporting events, provide subtitles for live events in a variety of languages based on spectator position, as well as advertise and generate revenue for the stadium, team or company involved.
6.Predicting games with artificial intelligence
Machine learning (ML) can be used to predict the outcome of competitions. Whether in football, volleyball or basketball, or where extensive data is available, it can be modeled to predict match results. One of the best examples of this is the project made by the students at Great Learning on “Predicting the outcome of the IPL cricket match using AI techniques”.
