Artificial intelligence is a broad concept.
At its core, it involves designing machines that, like humans, are capable of acquiring knowledge and information to solve problems. It encompasses data analytics, predictive analysis, machine learning, pattern recognition and, at the very least, a simulation of sentience (we’ll leave existential questions of consciousness for another day).
From a sports perspective, we are witnessing something of an ‘AI revolution’. AI is beginning to permeate all aspects of the sports industry (and will continue to do so), raising interesting questions around the need for AI-specific regulations and ultimate ‘ownership’ of the vast swathes of data these technologies collect.
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Artificial intelligence continues to strengthen its foothold in the sports industry and provides exciting opportunities for fans, players, brands and software companies alike. But with seemingly unfettered growth come fresh uncertainties for AI.