The article examines the possible uses of AI-based technologies in the field of sports during 2020 – both behind the scenes and when interacting with viewers and fans.
The development in the field of artificial intelligence (AI) is progressing rapidly. With the advances made in AI, sports federations are now seeing the potential of this technology to improve the game and strengthen engagement and loyalty of fans. AI has skills that improve both behind-the-scenes work and ease of use when interacting with content. The efficient understanding of data gives sports rights providers the opportunity to benefit from content so that fans can have more fun and interact with them than ever before. Building fan engagement is critical in the sports field; maintaining loyalty and creating a sports community ultimately create opportunities for sports providers, monetize these interactions. It is therefore not surprising that AI is quickly becoming an indispensable tool for sports companies when it comes to providing fans with content.
AI behind the scenes
Historic sports events are a market segment that was difficult to manage in the past. It is undeniably something fans want to see. YouTube has an incredibly high number of viewers who watch football games from over 20 years ago. Sports archives have the potential for monetization. However, managing the multitude of video materials was a time-consuming and expensive hurdle for AI behind the scenes. Historic sports events are a market segment that was difficult to manage in the past. It is undeniably something fans want to see. YouTube has an incredibly high number of viewers who watch football games from over 20 years ago. Sports archives have the potential for monetization. However, managing the multitude of video materials was a time-consuming and expensive hurdle for sports rights holders. Manually capturing the data and converting it into high quality content was a tedious and costly task. AI is now used as an inexpensive and time-saving method for data analysis and for creating high-quality content from sports archives. In addition, cloud technology combined with AI offers scalability by removing the physical barrier to managing data and content. By correctly using metadata, AI creates new opportunities for how content can be categorized, aggregated and merged – it can convert content into relevant and appealing compilations within minutes. Thanks to their cost efficiency, the income of the sports providers from the archive material becomes a valuable commodity that promises a high level of commitment from the fans. This not only creates a worthwhile source of income, but also that the service providers provide sports fans with content that strengthens their loyalty.
Can AI improve the user experience?
In addition, the efficiency of AI-based technologies in analyzing data and categorizing content offers opportunities to improve user interaction. Sports content providers are now able to break down their video content so that consumers can create personalized playlists. For example, fans could search for specific types of goal in football and receive a cataloged playlist with content. AI Face Matching is another tool that fans can use to find their favorite player and watch every game they’ve used. The AI offers fans the opportunity to organize content as they imagine.
In addition to AI analysis of archive metadata, AI technology was developed to create a real-time analysis of sports. This is useful not only for coaches, but also for fans who have shown a real interest in understanding the real-time statistics behind a game. Sports associations once again recognize the value of real-time statistics for fans. Why not let a viewer watch the live game on one screen and the movements of their two favorite players and the biometrics on the other? The fans now have the opportunity to fully immerse themselves in the game and experience a whole new dimension of support for their teams or to participate in discussions with other fans after the game. Fans have always been interested in
Improving in-game decisions
Another area that AI can rely on is in-game decision making. With referees making millimeter-critical decisions, it is understandable that sports organizers rely on technology to ensure that these decisions are accurate. Image processing and AI can analyze the footage of the ball or the position of a player and use pre-programmed algorithms to determine whether the action was offside or whether a team actually scored a goal.
In addition, an AI for analyzing and evaluating gymnastics routines is being developed. The data collected by 3D sensors is analyzed and compared to the standards of the International Gymnastic Committee to enable the AI to provide a result for the routine. The technology is designed to filter out subjectivity from the assessment. In this role, however, the AI has its limits: if a gymnast made a new move, the AI would not be able to analyze it because it would have no comparison data. Independently, AI can become a useful tool to help judges make decisions by providing a wealth of technical data.
How do we know if fans are happy with the content?
The interaction and commitment of the fans creates a wealth of data that is available for analysis. Data-driven design, the process of analyzing user behavior and using it to design platforms to improve usability is a very good tool that can be used to reduce the risk of content production that fans do not want to see . Understanding fans’ preferences creates high quality sponsorship opportunities and increases interactivity revenue. As organizations place more emphasis on addressable advertising, it is in the interests of sports societies to understand their demographic development and measure their value. The rights holders of sports rely on AI, to understand the viewing habits and to distinguish fan types and demographics. The detailed information that the AI can provide is expected from the sponsors in the negotiations and in evaluating opportunities.
The versatility of AI The AI
Not only is it revolutionizing the way sports rights holders can produce content, but also the way they deliver the content to their fans and understand how their fans handle the content. The operational and cost efficiency of AI has opened up tremendous opportunities to monetize available information while promoting fan engagement through well-received service. Sports organizations can not only offer interactivity through personalized archive playlists, but also by creating AI-generated real-time analytics during live games. By offering high quality and interactive production through AI-driven data design, sports content providers are seeing an increasing following with a high level of commitment.
lucrative sponsoring perspectives, since the AI offers the sports facilities an inexpensive and time-saving possibility to understand their interactions through a thorough data analysis. The AI opens up possibilities for onetization to the owners of sports rights and at the same time produces first-class content for sports fans.