As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...

Altimetrik, an AI-first data- and digital-engineering company, has been recognized as a Major Contender in Everest Group's ...

Trust in AI comes down to trust in data. Enterprises underestimated that connection and now companies are racing to close the ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Telecom networks are closer than ever to being able to fix their own data, and the implications are significant.

A structured data ownership model—rooted in ICH GCP principles, supported by MHRA and FDA interpretations, and documented in validated system specifications—will enable sponsors to maintain compliance ...

Founded in 2023 by Adarsh Srivastava and Balasubramanian P, CtrlB is an AI startup that helps teams collect, store and ...

Through his data-driven approach, Samuel delivered $2 million in incremental annual revenue — a remarkable 15% boost to the ...