How a controversial tech from the 2000s could transform AI to make it cheaper, faster and almost indestructible.

Data center development has focused on massive projects for AI training in obscure locations. AI inference is pushing ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. AI has a shiny front end. As everyone who’s used an ...

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

AI inference—the process of running trained models to make real-time decisions—is increasingly moving away from centralized hyperscale data centers to edge locations. This shift is driven by the need ...

Shadow AI 2.0 isn’t a hypothetical future, it’s a predictable consequence of fast hardware, easy distribution, and developer ...

The more useful AI becomes, the more data it must touch. And the more data it touches, the higher the stakes for security, ...