"Audiences now look for more immersive broadcasts and real-time data, broadcasters face rising reliability demands, and governing bodies continue to push for greater transparency and precision. Together, these pressures are starting to expose the limits of traditional IT systems in elite sports such as soccer, particularly around latency, and paving the way for AI-driven, real-time intelligence embedded directly into competition, operations, and fan engagement."
"As the official technology partner of the World Cup 2026, Lenovo is treating the tournament as a systems-level deployment, placing AI at the operational core of the world's largest sporting event. The company is treating the event not as a showcase, but as a real-world test of AI beyond cloud-first architectures, where failure carries immediate consequences. Rather, it's betting that global scale, matched with deep local execution, delivers an advantage in such a complex environment."
"Lenovo chairman and CEO Yuanqing Yang says the World Cup exemplifies how AI can operate in complex, large-scale environments. "These are live events with real pressure and real audiences," he says. "The value of such partnerships goes beyond short-term visibility. They help us understand how AI performs under demanding conditions, and that insight feeds directly into how we design and improve our technology.""
The World Cup 2026 will span the United States, Mexico, and Canada, becoming the largest World Cup ever staged and prompting a technological reset. Audience expectations now include immersive broadcasts and real-time data, while broadcasters demand greater reliability and governing bodies require transparency and precision. These pressures expose limits of traditional IT—especially latency—and drive adoption of AI-driven, real-time intelligence across competition, operations, and fan engagement. As official technology partner, Lenovo places AI at the operational core in a systems-level deployment, testing AI beyond cloud-first architectures and combining global scale with deep local execution to improve performance and inform technology design.
Read at Fast Company
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