An Assessment Over The Impact Of Artificial Intelligence On Sports Activities And The Sports Industry

Abstract

Purpose: To determine various methods of artificial intelligence (AI) that have been developed, often based on an past sporting events, to generate well-formulated training plans, game strategies automatically, and score feedbacks; To develop proposals for strategies, policies and programs applicable by Türkiye dynamics. Method: Literature review, internet search for tools and programs available in the market and descriptive and content analysis techniques are used. Results: AI is a comprehensive, piercing, and cutting-edge discipline that is constantly evolving as an important area of research embedded in all fields of science, sport management information systems (S-MIS), computing, and technology. Sports is an excellent field to apply AI design approaches where AI is used as a helpful tool in predicting and determining human endeavors. Numerous studies in the literature have described the impact of AI on players and potential future players, fans, media, player training, development, scouting, recruitment, and the entire sports community related to sports. AI methods for the strategic management of athletes and sports organizations have matured by automatically generating sports plans, results, scores, and predictions in individual sports disciplines. Conclusion: With a view to the future of the relationship between athletes, sports economics, rules, and athletes, this research helps identify existent and prospective most effective application areas of AI with the help of main findings and recommendations in the literature. Suggestions have been developed for strategies, policies and programs that can be supported and implemented in Turkish conditions.

Keywords

• Artificial Neural Networks
• Deep Strategy
• Robot Detection Systems
• Intelligent Sports Management Information Systems (S-MIS).

Yapay Zekanin Spor Aktiviteleri ve Spor Endüstrisi Üzerindeki Etkisi Üzerine Bir Değerlendirme

Abstract

maç: Genellikle geçmiş spor etkinliklerine dayalı olarak geliştirilmiş çeşitli yapay zeka (YZ) yöntemlerini belirleme, iyi formüle edilmiş antrenman planları, oyun stratejileri otomatik olarak oluşturma ve geri bildirimleri puanlama kabiliyeti noktasında Türkiye dinamiklerine uygun strateji, politika ve program önerileri geliştirmek. Yöntem: Literatür taraması, piyasada bulunan araç ve programlar için internet taraması, betimsel ve içerik analizi teknikleri kullanılmıştır. Bulgular: YZ, bilim, spor yönebim bilgi sistemleri (S-YBS), bilgi işlem ve teknolojinin tüm alanlarına gömülü önemli bir araştırma alanı olarak sürekli gelişen kapsamlı, delici ve son teknoloji bir disiplindir. Spor, YZ’nin insan çabalarını tahmin etmede ve belirlemede yardımcı bir araç olarak kullanıldığı makine öğrenimi tasarım yaklaşımlarını uygulamak için mükemmel bir alandır. Literatürdeki çok sayıda çalışma, YZ'nin mevcut oyuncular ve gelecekteki potansiyel oyuncular, taraftarlar, medya, oyuncu eğitimi, geliştirme, izcilik, işe alma ve sporla ilgili tüm spor topluluğu üzerindeki etkisini tanımlamıştır. Sporcuların ve spor organizasyonlarının stratejik yönetimi için YZ yöntemleri, bireysel spor disiplinlerinde otomatik olarak spor planları, sonuçları, skorları ve tahminleri üreterek olgunlaşabilmektedir. Sonuç: Sporcular, spor ekonomisi, kurallar ve sporcular arasındaki ilişkinin geleceğine yönelik bu araştırma, literatürdeki temel bulgular ve öneriler yardımıyla AI'nın mevcut ve gelecekteki en etkili uygulama alanlarının belirlenmesine yardımcı olmaktadır. Türkiye şartlarında desteklenebilecek ve uygulanabilecek strateji, politika ve programlar için öneriler geliştirilebilmiştir.

Keywords

• Artificial Neural Networks
• Deep Strategy
• Robot Detection Systems
• Intelligent Sports Management Information Systems (S-MIS).

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