Overview of the Application of Artificial Intelligence in Sports Events

Sport events are conducted throughout the world for several reasons. The host city and country are benefited by improving economic, cultural, and other benefits. Modern sport events have taken place with Artificial Intelligence (AI) effectively. AI technologies are used to enhance the productivity and fan involvement. The performance of athletes is also improved using AI. This work presents the detailed summary of the applications of AI in sports events management. The underlying technologies in AI such as machine learning (ML), computer vision (CV), and big data analytics (BDA) acts as a key factor in sport events. AI techniques can be used to predict match results and health monitoring. The sport event is facilitated with effective scheduling and resource management using AI. AI techniques are also used to prepare the training plans based on user needs. It can be used to improve the skills of athletes. The use of Virtual Reality (VR) and AI are able to enhance viewing experience of sports events. The challenges associated with AI-based sports events were discussed. The comparative analysis of machine learning (ML) and deep learning (DL) models were presented. The results indicated that DL-based methods increase performance.