The Department of the Air Force has issued data and AI strategies to become an AI-first force and maintain air and space ...

Scaling agentic AI demands a strong data foundation - 4 steps to take first ...

AI simplifies processes and drives new efficiencies. But data centers harm the environment, and these companies are helping ...

In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...

One icy morning in February, nearly 200 people gathered in a church in downtown Richmond, Va. Most had awakened before dawn and driven in from across the state. There were Republicans and Democrats ...

Access to data that has been prepared for use in AI training, inference and other tasks is key to ensuring that storage systems don’t act as bottlenecks to full performance of GPUs and AI applications ...

As part of CRN’s 2026 AI 100 list, here are 15 big data companies that manage the flow of data for automated AI applications and agentic systems. As AI systems and applications proliferate, their need ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data faster. The Indexing and retrievals are way faster 10-40X faster in most ...

KSHB 41 reporter Isabella Ledonne reports on stories in Overland Park, Johnson County and topics about government accountability. She's been reporting on data centers for more than a year in the ...

Varonis is proud to announce the general availability of Varonis Atlas, an end-to-end AI Security Platform that helps organizations see and control AI across the enterprise. Atlas is the only platform ...

Traditionally, AI progress was constrained by one thing above all else: access to data. Not enough volume. Not enough diversity. Not enough coverage of edge cases. That constraint is disappearing.

AI is changing the way doctors diagnose health conditions and treat patients. There’s a lot of optimism about its potential for improving health outcomes. However, because AI requires massive amounts ...