Sports media asset management is a crucial aspect of the sports industry, involving the storage, organisation, and distribution of digital assets such as videos, photos and live broadcast footage. Traditionally, this process has been manual and time-consuming, requiring effort to sort and categorise assets in an organised manner. ScorePlay has changed the way the world looks at media asset management. Using AI, ScorePlay has automated so many of the tasks usually involved in media asset management to create a seamless experience for its users and enable the visual storytelling of sports organisations.
ScorePl-AI
The rapid advancement of artificial intelligence (AI) and machine learning will revolutionise sports media asset management. These technologies can automate many of the tedious and repetitive tasks involved in asset management, freeing up valuable time and resources for more creative and strategic work such as digital campaigns, partner activations and so on. One of the key benefits of using AI and machine learning in sports media asset management is to improve the efficiency of the process. For example, AI can be trained to automatically classify and tag digital assets, making them easier to search and retrieve. ScorePlay’s AI does exactly this, by automatically tagging and classifying digital assets by using facial and text recognition to detect players and partners.
Another benefit of AI is to enhance the accuracy and consistency of asset management. By using algorithms that can learn from data and improve over time and increased data analysis, sports media organisations can ensure that their assets are consistently tagged and organised, reducing the risk of errors or inconsistencies. As ScorePlay’s AI develops and detects thousands and thousands of athlete’s faces, and brand’s logos, it gets better at detecting whether there is obstruction from weather, gear or others. Artificial intelligence has the capacity to learn like no human team could ever.
Welcome to the future
In addition to improving efficiency and accuracy, AI can also enable more advanced and sophisticated forms of asset management. For example, AI can be used to analyse and summarise large volumes of video footage, generating metadata that can be used to search and retrieve specific moments within a game or event. This can provide valuable insights for sports broadcasters, enabling them to quickly access and use the most relevant and compelling footage. ScorePlay works with leagues to do exactly this. We integrate with Opta so that broadcast footage can be immediately tagged with events, and become completely searchable right after games. This means that archives can become completely searchable and years into the future, leagues, broadcasters and clubs will be able to search for exactly the content they need, on top of being able to react faster than anyone else in the present.
Overall, the potential for AI to revolutionise sports media asset management is significant. By automating repetitive tasks and enabling more advanced forms of analysis and organisation, these technologies can improve the efficiency, accuracy, and sophistication of managing digital assets across a sports organisation. As the adoption of AI continues to grow, we can expect to see more and more organisations leveraging these technologies to optimise their asset management processes. Using ScorePlay is a simple way of adopting the technology and having it centralise and organise all your assets.
About ScorePlay
ScorePlay is your best-in-class media solution that provides an automated architecture to centralise, distribute, and classify your digital assets, whether photos, videos, or live broadcasts. We are transforming sports organizations, automating their creative processes and growing their brands and unlocking new revenue. We are the bridge to the future of sports storytelling, from content capture to fan consumption. Automate. Grow. Unlock.
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Photo credit: Dallas Wings
