Organizations addressing data quality issues as a strategic operation are positioned to adapt to latest trends and scale ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Two IT air quality data systems that inform the U.S. Environmental Protection Agency’s (EPA’s) regulatory and compliance decisions are outdated, the U.S. Government Accountability Office (GAO) has ...

Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. In many industries, including banking, insurance and ...

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 ...

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 Government Accountability Office (GAO) is concerned that aging systems present challenges in obtaining reliable air quality data. The Environmental Protection Agency (EPA) primarily uses two ...

Hospitals are built on the promise of safe, effective, and compliant care, with a strong quality management function at the heart of that promise. But even as organizations prioritize quality ...