Clinician-led engagement outperforms non-clinical call-center models, with “nurse ambassador” programs enabling escalation, ...

Data storage systems have been refined over the years to provide a stable platform onto which organizations can dump their ...

For decades, business success was often associated with expansion. Larger organisations built more departments, introduced ...

The accessibility tree decides whether an AI agent can read and act on your page. The 2026 data says the web is getting harder for machines to parse.

Abstract: Comprehensive 3D volumetric characterization is a critical pursuit in non-destructive evaluation and advanced materials engineering. However, high-fidelity 3D ultrasonic imaging has ...

WASHINGTON, April 28 (Reuters) - The U.S. Food and Drug Administration launched a pilot program on Monday aimed at allowing the ‌agency to monitor clinical trial data in real time, a step the agency ...

Kirkland & Ellis partners Melissa Kalka and Kimberly McGrath explain how power constraints, evolving deal structures, and new financing models are reshaping data center investment in the AI era.

On the face of it, the data required for artificial intelligence (AI) can be analogized to oil. Both raw materials are plentiful and potentially valuable, but each requires complex refining to unlock ...

Construction of new data centers in the U.S. fell for the first time since 2020 despite soaring demand for artificial-intelligence computing capacity, as developers face delays in permitting, zoning ...

New features unveiled at Pure//Accelerate promise easier cloud migration, smarter Kubernetes ops, and built-in threat detection, helping CIOs manage data sprawl and AI risk across hybrid environments.

Organizations grapple with data security obstacles on the path to AI adoption, according to OpenText. The Ponemon Institute surveyed nearly 1,900 CIOs, CISO and other IT leaders for a report published ...

Today’s organizations are sitting on a plethora of untapped data. This unused information is referred to as “data overhead,” and it has become the source of massive inefficiencies, costs and ...