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Five myths about sovereign cloud that could put your business at risk
By Rick Martire published
As governments deploy AI, control and jurisdiction matter as much as where data is hosted.

Keeping the human touch in tech: what over-automation gets wrong
By Justin Sharrocks published
As AI scales across IT services, removing human judgement risks brittle systems, rising costs, and eroding customer trust.

What CES 2026 didn’t show: The quiet crisis in wireless capacity nobody is talking about
By Mahesh Krishnaswamy published
There’s a quiet crisis unfolding: capacity is collapsing. Light beams can unleash the internet.

AI governance under strain: what modern platforms mean for data privacy
By Kevin Boyle published
AI risk emerges from live systems and processes, not abstract policies or model behavior.

Confronting AI’s data privacy paradox
By Kevin Cochrane published
As AI projects advance, enterprises must prioritize secure, flexible cloud infrastructure to protect their data.

Turning VMware exit into a strategic advantage
By Dr. Ignacio M. Llorente published
Exiting legacy cloud platforms can modernize and future-proof infrastructure while saving money.

“It’s cheaper for you and more profitable for us”: In 1998, Larry Ellison predicted the world we live in today, where you pay over and over for software you don’t own
By Wayne Williams published
Larry Ellison’s 1998 vision of leasing software predicted today’s cloud subscriptions and the end of traditional software ownership.

Privacy’s about to become boring, and that’s a good thing (for those that take note)
By Jeremy Bradley published
Privacy shifts from compliance burden to competitive advantage as AI and blockchains reach production scale.
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