The use of artificial intelligence (AI) in professional sports is an emerging trend that will impact nearly every major professional sport in the coming years. Pilot applications include live game information chatbots, automated game reporting and the use of sensors and wearables to provide athletes and coaches with meaningful performance insights. This trend is enabled by an increasing amount of data coming from a larger number of data capturing or generating devices such as sensors attached to bikes, athlete wearables and video cameras.
Currently, these data sources are hardly used in sports events broadcasting, despite the potential to make reporting more interactive, informative, personal and attractive.
Traditional reporting needs to reinvent itself, but that requires adequate translation of the data into useful narrative elements (‘’something happened”), tailored to be used and integrated in real-time dynamic visualizations and storytelling for sports events.
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