True resilience isn't just about having great data; it’s about how your systems talk to each other and whether your team is actually empowered to act when things go sideways. “It is not the most ...

Comfort Systems USA, Inc. FIX is steadily expanding its exposure to data center construction, which is emerging as a meaningful driver of its accelerating growth profile. While the company continues ...

Jan 14 (Reuters) - Connecting to the U.S. electrical transmission system has become the biggest problem for powering up Google data centers on the grid, as the wait times to connect surge to more than ...

iPhone's "System Data" can take up a lot of space on your smartphone. Here's what we know. Credit: Future Publishing via Getty Images It's a dreaded notification that some iPhone users have come to ...

Imagine trying to navigate an unfamiliar city with a broken compass. The needle appears steady and reliable, instilling confidence in each turn you take. But unbeknownst to you, every step leads you ...

In NBC’s The Good Place, the entire system of the afterlife is thrown into chaos because of one central flaw: The way data about people’s lives is collected and used is completely opaque. Characters ...

WASHINGTON, Nov 20 (Reuters) - The Federal Aviation Administration said on Thursday it wants to adopt a new comprehensive system to overhaul how air traffic controllers receive flight data and move ...

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and enables autonomous action. For decades, the database has been the silent partner ...

States have run more than 33 million voters through the Trump administration’s recently updated SAVE data system, which is designed to check citizenship status. We discuss how states are using the ...

Naren Narendran is Aerospike’s Chief Science and Engineering Officer. He has previously worked at Bell Labs, Google and Amazon. Enterprise AI has evolved rapidly—from predictive models answering ...

The rapid escalation of AI/ML workloads—driven by increasingly large language models—is reshaping high-performance computing and AI data center architectures. Real-time inference and large-scale ...