InfoWorld AI·
Enterprises are increasingly investing copious amounts of cash in AI without a lot to show for it. This could be, in part, because the wrong people are leading the change. As I’ve argued before, AI isn’t likely to eliminate developers so much as change what we need from them. For example, we keep asking whether junior developers are needed in a world where large language models can write code faster and cheaper. What this overlooks is the reality that these younger developers and their relative inexperience may be exactly what we need to rewrite the rules of software development. This thought hit me while reading James Governor’s riff on something Ben Griffiths wrote about our industry’s habit of confusing age with authority. Griffiths remembered sitting through a conference talk in which a speaker tried to shame a young audience for not recognizing some of the older men who had shaped computing. The irony, Ben noted, was that many of those “old men” had done their world-changing wor
Read full articleEnterprises are moving agentic AI from proof of concept to production — and the next generation of AI factories are built for the era of agents. At HPE Discover Las Vegas, running through Thursday, June 18, NVIDIA and HPE are expanding the HPE AI Factory with NVIDIA, including NVIDIA Vera CPU and NVIDIA Agent Toolkit […]
AI adoption continues to accelerate, but organizations are finding that turning experimentation into measurable outcomes is a much harder challenge.
Energy consumption is becoming a critical factor in AI investment, governance and sustainability decisions in the U.K.
TensorWave has raised $350M in Series B funding to expand its AMD-powered AI cloud, serving enterprises running large-scale training and inference workloads.
Guest Post by Bernie Margulies Three kinds of buyers are absorbing the world’s AI GPUs: hyperscalers, neoclouds, and enterprises building their own clusters. Much of the money behind these purchases is debt, and these GPU chips are increasingly financed as a separate asset class from the buildings that house them. Analysts expect the four biggest […]
Many enterprise employees are performing work tasks on free AI accounts. The way to fix this is withcollaboration between managers and employees on the tools to use.
Why it matters: Most enterprise AI pilots never reach production. Here is why they stall and the data, governance and change moves that let the rare ones scale.
Rising AI compute costs are forcing companies to rethink their budgets and deployment strategies. The post Brannin McBee: Companies face budget overruns from rising AI compute costs, demand for AI technology in enterprises is unrelenting, and CoreWeave’s client diversification signals market growth | Odd Lots appeared first on Crypto Briefing.
