The award recognizes Sunnam’s pioneering 'Ghost Edge Node' model and data modernization strategies that have secured critical ...

Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.

For years, companies have been moving their most valuable customer data into countless different systems used by marketing, ...

We’re proud to launch Ellie Solo, a new individual version of Ellie built specifically for individual data professionals, freelancers, and small teams. HELSINKI, UUSIMAA, FINLAND, January 5, 2026 ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is the fix. Let’s be honest: our data systems are struggling to keep up with AI ...

Data center architectures are undergoing a significant change, fueled by more data and much greater usage from remote locations. Part of this shift involves the need to move some processing closer to ...

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the Next Data Cycle, today released the data architecture being used for training inference for Large Language Models (LLMs) ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Change is driven by the huge amount of data growth, with organizations now running workflows typically seen in High Performance Computing (HPC). Compute Systems, whether at the core, the cloud, or the ...

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 ...