Data quality frameworks reshape pharmaceutical quality systems in Pharma 4.0, integrating digital maturity, automation, and ...

In the modern enterprise, data isn’t just a byproduct of systems—it’s the lifeblood of decisions, automation and innovation. Yet, as organizations accelerate their data ambitions, one truth becomes ...

A few years ago, I sat in on the closing meeting of an aerospace supplier's AS9100 surveillance audit. The auditor ask ...

Data is essential for the success of any artificial intelligence (AI) project, but understanding what makes data beneficial—or harmful—for AI is crucial. At a high level, machine learning (ML) and AI ...

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,” ...

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 ...

Fab operations have wrestled with big data management issues for decades. Standards help, but only if sufficient attention to detail is taken during collection. Semiconductor wafer manufacturing ...