The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...

As healthcare delivery continues to evolve, healthcare organizations are often moving too quickly from EHR implementation to population health to risk-based contracts, glossing over (or skipping ...

Additionally, the firm wrote in its research report, poor data quality and misaligned tools limit agility. And, while nearly ...

It is easy to think of data quality analysis in terms of absolutes – a date of birth is, after all, either right or wrong. But in many other cases, data quality is not clear-cut and it can vary, ...

Purpose-Built AI Agents Eliminate Hours of Manual Test Analysis, Accelerating Release Cycles and Empowering Engineering Teams to Ship High-Quality Applications with Unprecedented Speed and Confidence ...

If you’re involved in quality assurance, which you most likely are or wouldn’t have started reading this article, then you know how important maintaining software quality is—especially in the modern ...

Last year, surveyors checked in with more than 2,000 IT leaders in the U.S. and Canada, and 60 percent believed their organizations lacked accountability for data quality, while more than 50 percent ...