AI & Society

Sarah Friar, CFO of OpenaAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.

UK agency warns cheaper open models could leave companies less time to patch critical vulnerabilities

Unusually swift pace of capital injection comes as Chinese AI start-up seeks to build out infrastructure

Risk is rising as big tech companies like Oracle — the ultimate financial source of the Ellison media empire — need to turn to the bond market for staggering sums to finance data centers.

Private AI will not fail in most enterprises because the model cannot run. It will fail because nobody can answer a simple question clearly: Who owns this thing? That question sounds basic until the first production AI use case crosses infrastructure, GPUs, model runtime, vector data, business logic, identity, audit logging, security policy, and operational

This year, I’ve been watching the World Cup with the play-by-play in Spanish, only because that streaming app was way cheaper. With the final game between Argentina and Spain approaching on Sunday, however, it’s seeming like a real perk. For this matchup, “¡Gooooooooool!” is really the only acceptable way to announce a new score. And

“I don’t know if the public understands this, but these companies hate each other.”

Xi Jinping said that the development of artificial intelligence systems should be a “symphony of global collaboration.”

From Platform Capability to Operational Reality VCF 9.1 gives VMware teams a stronger private AI story. But having the platform capability is not the same thing as having an operating model. That distinction matters. A production AI platform needs more than GPU hosts and a few model endpoints. It needs clear consumption boundaries, network isolation,

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