If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

When teams can’t trust their data, they can’t use it as the foundation for an AI strategy, even when there’s pressure from ...

Data center operators are focused on the same things: quickly deploying AI, delivering and using power efficiently and future-proofing IT infrastructure.

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

Real-time security clearances are becoming increasingly common in manufacturing of advanced-node semiconductors, where data ...

NVIDIA is rolling out AI data center reference designs that combine digital twins with power, cooling, and controls ...

The collaboration expands upon the Secure AI Data Center solution introduced by Fortinet, now enhanced through multivendor ...

Data center architecture will change radically—from building design and cooling systems to urban planning—fundamentally ...

More diverse data estates require a new strategy—and the infrastructure to support it. In association withKyndryl Companies have contended with a deluge of data for years. And while most have not yet ...

Healthcare organizations are awash in data. But not every health system is able to utilize its data in ways that yield actionable insights or opportunities for performance improvement. Without a clear ...

If your company's product data isn't accessible to AI shopping agents, you'll effectively be shut out of this growing channel ...

As AI workloads grow and data centers of all types adapt to support high-density computing, preparing liquid-ready infrastructure is no longer early adoption – it’s a pathway to long-term resilience ...