Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

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

Cloud security and application monitoring giant Datadog Inc. said today it’s looking to expand the scope of its data observability offerings after acquiring a startup called Metaplane. The financial ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

AI is reducing manual data work, allowing engineers to focus on system design and reliability. Real-time and cloud-based data ...

San Francisco, CA / Syndication Cloud / January 8, 2026 / Lift AI That reality is now showing up clearly in the data.

NEW ORLEANS--(BUSINESS WIRE)--AONL CONFERENCE–Press Ganey, the leading provider of experience measurement, data analytics and insights to health systems and health plans, today announced a ...

Gone are the days when quality is owned by a single department or measured on a distant dashboard. Today, clinical quality is woven into the fabric of nearly every aspect of health system operations, ...

The IAEA has released comprehensive guidance on dose management systems — software tools that collect, monitor and analyse patient data on radiation doses. This new resource will help medical ...

Retail marketing is moving through a period of realignment. Privacy expectations, rapid AI adoption, and the demand for ...

As health systems enter 2026, chief medical information officers say the biggest IT risks are operational, financial and clinical — and many are converging at once. From ransomware threats to ...