The intersection of professional sports and cloud computing has enabled leagues and organizations to accelerate innovation. However, the partnership between the PGA Tour and Amazon Web Services Inc. is currently entering a new phase: the hyper-personalized era. This week the golf world descended upon TPC Sawgrass for THE PLAYERS Championship, to watch Cam Young take the title. AWS and the PGA Tour are using the event to debut a suite of technologies that doesn’t just track the ball but interprets the game.

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The intelligent green: How AWS and the PGA Tour are reimagining the fan experience through agentic AI

As one would expect, artificial intelligence was a top theme at the recent MWC conference in Barcelona, but 6G was certainly prominent as well. This year, the discussions has pivoted from the maturation of 5G wireless networks to the “seamless path” toward 6G. But for those of us who have spent the better part of two decades watching G-cycles come and go, there was a healthy dose of skepticism at the show.

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The 6G horizon: Can AI finally solve the telco monetization paradox?

Enterprises are currently fighting a two-front war. On one side, there is an aggressive push toward AI adoption; on the other, an infrastructure landscape so fractured across edge, cloud and on-premises sites that scaling becomes nearly impossible.

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The convergence crisis: Why AI adoption demands a new architectural blueprint

The communications industry is filled with vendors that once dominated one aspect of the “stack” but have been focused on building a unified platform that includes voice, video, meetings, contact center and much more. But the most interesting vendor in the market is Zoom Communications Inc.

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Zoom at Enterprise Connect 2026: From meeting tool to agentic work orchestrator

We are squarely in the artificial intelligence event season with MWC just wrapping up and Nvidia GTC and RSAC on deck. The talk of every show this year has been about moving AI from vision to reality. However, it’s often the case that the transition from AI experimentation to production-grade, value-generating systems hits a wall because of infrastructure availability and readiness.

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The infrastructure bottleneck: Why enterprise AI needs a ‘hyperspeed’ pivot