Success now depends on achieving the right balance between automation and human expertise—maintaining governance without sacrificing agility and ensuring security at scale. As data ecosystems stretch ...

Almost every NHS trust will have moved onto a digital system by this spring. Experts have cautioned many patients are still struggling to access their own health data Continue Reading ...

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 ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

Breakthroughs in Agentic AI, AI-Ready Data Platforms, and Code-First APEX Development PLANO, TX, UNITED STATES, March ...

Clinical data management is entering a new phase as AI automates EDC build, shortens timelines, and enables data teams to focus on quality.

Pre-validated configuration accelerates enterprise AI deployment while maintaining complete data sovereignty SAN MATEO, ...

As the adoption of electronic medical records continues to grow across Nigeria’s healthcare system, cybersecurity and health technology experts have outlined measures hospitals can take to protect ...

The Navy is adjusting the rollout of a new enterprise safety reporting system after the government shutdown delayed development and data migration work, according to a directive issued by the service ...

We came across a bullish thesis on Waste Management, Inc. on Roche Capital’s Substack by Pedro Ortiz. In this article, we ...

Bloomfire reports on 6 key knowledge management trends for 2026, emphasizing dynamic collective intelligence as a strategic ...

Every AI model is trained on human data. But whose data is it—and who gave permission? A closer look at consent, bias, and the law behind AI training.