Network Infrastructure Powers AI Performance At Enterprise Scale

The Operations Command Center is where this gets especially interesting. Powered by T-Mobile’s 5G network, operational data moved across connected workflows throughout the event footprint. Powered by CapTech’s AI, patterns surfaced earlier in the process. That combination matters. T-Mobile owns the network and connectivity layer. CapTech owns the AI layer. Together, that creates the enterprise model: Network infrastructure plays a major role in how AI performs at scale

At the PGA Championship, the real story was not just “AI at an event.” The real story was what AI requires to be useful at enterprise scale. AI depends on data. Data depends on the network. And under pressure, the question is not: “Can the model find a pattern?” It is: “Can the right data reach the right systems in time to support operational decision-making?” That distinction matters.

The PGA Championship showed what modern enterprise operations increasingly look like. · Thousands of people. · Dozens of systems. · Multiple business-critical workflows. · All running at once. That sounds like a major sports event, but it also sounds like: → a hospital during peak demand → an airport during disruption → a university campus on game day → a manufacturing site with connected operations → a logistics hub managing connected operations Different environments, same infrastructure question.