The debate around data centres often begins and ends with electricity consumption. That approach misses the real story, as the larger question we should be asking is how much of that electricity ...

Massive data centers are gobbling up resources across the United States. The boom has just begun—and you may be paying for it ...

Battery energy storage systems (BESS) are increasingly used in uninterruptible power supply (UPS) applications for data centers and to speed grid connections, offering services beyond what gas ...

And then there’s all the space radiation. But wait. It’s not as crazy as it sounds. For one, think of the environmental ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

AI-powered Continuous Data Protection is transforming enterprise resilience from post-disaster recovery to proactive prevention, enabling businesses to achieve near-zero data loss.

As data moves beyond institutional systems, higher education faces a growing challenge with shadow data. Here’s how IT leaders can identify, manage and govern it before it creates compliance risks. In ...

It often starts with a routine request. A regional finance team is preparing consolidated numbers for quarterly reporting. Singapore’s figures arrive first. Australia submits shortly after. But when ...

Huge tech companies like Google and Amazon will spend $1 trillion to build AI data centers in the next two years. The problem is that they don’t have a way to get electricity without raising ...

Drone strikes damaged Amazon Web Services data centers in the Middle East, disrupting cloud operations and prompting the company to urge customers to move critical workloads out of the region. AWS ...

Pure Storage is officially becoming Everpure. The name change is part of an evolution that has been 16 years in the making. But today's announcement carries more weight than a rebrand alone - the ...

Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving ...