{"id":551471,"date":"2022-06-20T13:18:41","date_gmt":"2022-06-20T13:18:41","guid":{"rendered":"https:\/\/enterpriseam.com\/egypt\/2022\/06\/20\/ai-and-machine-learning-are-becoming-key-tools-for-professional-athletes\/"},"modified":"2022-06-20T13:18:41","modified_gmt":"2022-06-20T13:18:41","slug":"ai-and-machine-learning-are-becoming-key-tools-for-professional-athletes","status":"publish","type":"post","link":"https:\/\/enterpriseam.com\/egypt\/2022\/06\/20\/ai-and-machine-learning-are-becoming-key-tools-for-professional-athletes\/","title":{"rendered":"AI and machine learning are becoming key tools for professional athletes"},"content":{"rendered":"

<\/a> How AI and machine learning could prevent injury and optimize performance in <\/strong>the world of professional sport:<\/strong> The days of sports professionals pushing their limits and hoping for the best \u2014 and risking injury or exhaustion in the process \u2014 could be behind us. Artificial intelligence (AI) and machine learning programs are increasingly relied upon to predict sports injuries and enhance player performance, the Wall Street Journal<\/a>reports.<\/p>\n

Many sports injuries can be predicted \u2014 with the right data. <\/strong>Injury can seriously impact an athlete\u2019s physical and mental well-being, as well as their career potential, and is even more common among amateur athletes and young people than among professionals. But many injuries could be prevented \u2014 up to a third of injuries in professional football arise from overuse and could therefore be predicted by algorithms, according to Nature<\/a>.<\/p>\n

The use of AI in sports is seeing rapid global market growth:<\/strong> Valued at an estimated USD 1.4 bn in 2020, the market is expected to reach some USD 19.2 bn by 2030, according to a recent Allied Market Research report<\/a>.<\/p>\n

So how do the programs work? By collecting lots of data. <\/strong>Positional and biometric data<\/a> gathering is creating hundreds of new metrics to optimize decision-making processes in sports, says Deloitte Insights<\/a>. \u201cThere are athletes that are treating their body like a business, and they\u2019ve started to leverage data and information to better manage themselves,\u201d the WSJ quotes Kitman Labs founder and CEO Stephen Smith as saying. \u201cWe will see way more athletes playing far longer and playing at the highest level far longer as well.\u201d<\/p>\n

Tracking indicators<\/strong> can measure how players (or balls, or other objects) move around a field or court, using metrics including speed, acceleration, jump height, and lateral motion.<\/p>\n

Biometric indicators<\/strong> \u2014 including pulse rate, blood oxygen levels, sweat rate and sleep rhythms \u2014 can measure players\u2019 physical exertion, where they\u2019re susceptible to injury, and their rest needs.<\/p>\n

Some sports scientists also factor in contextual data <\/strong>\u2014 ranging from a player\u2019s mood, to how much water they\u2019ve drunk or how far they have traveled in a given period, their body mass index, and previous injuries.<\/p>\n

Companies <\/strong>already operating<\/a><\/strong> in the market <\/strong>include nutrition coaching app FoodVisor<\/a>, which uses machine learning to recognize over 1.2k types of food and estimate its quantity and nutritional value on a plate; AI system Zone7<\/a>, which crunches data from tens of thousands of athletes to analyze changes in body movement and make injury risk forecasts and training suggestions; Skillcorner<\/a>, which tracks football players\u2019 movement and performance; and injury risk analytics provider Kitman Labs<\/a>.<\/p>\n

Are these programs being used in MENA? Not yet, as far as we can tell. <\/strong>MENA has seen the growth of data analytics in areas including digital fan engagement by the UAE Jiu-Jitsu Federation (UAEJJF)<\/a>, performance monitoring of fan services in the region by LaLiga<\/a>, and the rise of Egypt\u2019s own football data analytics startup Arqam FC<\/a>. Programs that predict sports injuries don\u2019t appear to be in use here yet, though.<\/p>\n

All the potential applications are still to be explored: <\/strong>\u201cIn the last five or ten years, teams have been capturing huge volumes of data,\u201d data scientist Derek McHugh is quoted by Nature as saying. \u201cThere\u2019s a gap between how much data we\u2019ve been capturing and what\u2019s actually been done with it,\u201d he says. \u201cWe\u2019re trying to fill that gap using machine learning.\u201d<\/p>\n

But data privacy concerns could put the brakes on widespread adoption: <\/strong>Questions about who actually owns player data \u2014 including sensitive health information \u2014 remain unanswered. Some players are reluctant to have their data collected, citing privacy concerns and the fear that it could impact contract negotiations. And while certain professional sports leagues have put some frameworks in place to partially safeguard player data, the new tech is developing quickly, outpacing attempts to regulate data use, notes Deloitte.<\/p>\n","protected":false},"excerpt":{"rendered":"

How AI and machine learning could prevent injury and optimize performance in the world of professional sport: The days of sports professionals pushing their limits and hoping for the best \u2014 and risking injury or exhaustion in the process \u2014 could be behind us. Artificial intelligence (AI) and machine learning programs are increasingly relied upon […]<\/p>\n","protected":false},"author":1,"featured_media":551472,"comment_status":"closed","ping_status":"open","sticky":false,"template":"single-feature.php","format":"standard","meta":{"_acf_changed":false,"newspack_ads_suppress_ads":false,"newspack_popups_has_disabled_popups":false,"newspack_sponsor_sponsorship_scope":"","newspack_sponsor_native_byline_display":"inherit","newspack_sponsor_native_category_display":"inherit","newspack_sponsor_underwriter_style":"inherit","newspack_sponsor_underwriter_placement":"inherit","ep_exclude_from_search":false,"_primary_brand":0,"newspack_featured_image_position":"","newspack_post_subtitle":"","newspack_article_summary_title":"Overview:","newspack_article_summary":"","newspack_hide_updated_date":false,"newspack_show_updated_date":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[9595],"tags":[7094,901,633,2050,162,9242],"brand":[],"newspack_spnsrs_tax":[],"class_list":["post-551471","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-whats-next-2","tag-ai","tag-data","tag-enterprisepm","tag-machine-learning","tag-sports","tag-whats-next","wpautop","entry"],"acf":{"mongo_id":"6448fad0-0e04-4e00-9a4c-a1763f5f2a3a","is_powered_by":true,"story_type":"1","photo_url":"https:\/\/ent.news\/2022\/6\/465.jpg","photo_position":"above","related_issue":[551461],"teaser":"","voice_url":""},"yoast_head":"\nAI and machine learning are becoming key tools for professional athletes - EnterpriseAM Egypt<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/enterpriseam.com\/egypt\/2022\/06\/20\/ai-and-machine-learning-are-becoming-key-tools-for-professional-athletes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI and machine learning are becoming key tools for professional athletes\" \/>\n<meta property=\"og:description\" content=\"How AI and machine learning could prevent injury and optimize performance in the world of professional sport: The days of sports professionals pushing their limits and hoping for the best \u2014 and risking injury or exhaustion in the process \u2014 could be behind us. 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AI-produced art has the potential to show us how we as humans frequently limit our own creativity in a very machine-like way, and could force us to rediscover the creative abilities that make us human, argues mathematician Marcus du Sautoy in this Financial Times\u2026","rel":"","context":"In "Worth Listening"","block_context":{"text":"Worth Listening","link":"https:\/\/enterpriseam.com\/egypt\/category\/worth-listening\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/ent.news\/2023\/1\/731.jpg?fit=%2C&ssl=1&resize=350%2C200","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/posts\/551471","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/comments?post=551471"}],"version-history":[{"count":0,"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/posts\/551471\/revisions"}],"acf:post":[{"embeddable":true,"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/afternoon\/551461"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/media\/551472"}],"wp:attachment":[{"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/media?parent=551471"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/categories?post=551471"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/tags?post=551471"},{"taxonomy":"brand","embeddable":true,"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/brand?post=551471"},{"taxonomy":"newspack_spnsrs_tax","embeddable":true,"href":"https:\/\/enterpriseam.com\/egypt\/wp-json\/wp\/v2\/newspack_spnsrs_tax?post=551471"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}