Bringing tech-driven insights to viewers, wherever they are Fusing together real-time, raw data and historical facts does not come without its challenges, however. To humanise large volumes of information, Steven explains that Capgemini developed advanced real-time data processing systems that could handle the influx of massive data streams every minute, including player actions and team dynamics.

“ One of the biggest hurdles was processing large volumes of live data in real time,” he says.“ At the same time, we needed strong safeguards in place to minimise the risk of AI hallucinations and build confidence with our partners, so they could fully trust the insights we were generating.”

On top of this, a challenge was ensuring the technology focused on what fans care about most, identifying this information before then presenting it in a way that’ s easy to follow, particularly for those new to the sport.

80 December 2025

CREDIT: GREYSCALE PHOTOGRAPHY FOR CAPGEMINI