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

Enterprises want more value from their data, but research from Salesforce shows how silos, gaps in strategy and low data ...

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 ...

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

Health systems are entering an era of intelligent data management where real-time validation, data quality scoring and robust ...

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 ...

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

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, ...

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

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 ...

The Environmental Protection Agency would be required to update the legacy IT platform it uses to store air quality data systems under new legislation in the House. The “Clean Air in the Cloud Act,” ...