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

When recently asked what business priorities are most important to the data management efforts at their organizations, increasing operational efficiency was the top answer given by DBTA subscribers ...

The artificial intelligence-powered data quality startup Soda Data NV said today it has closed on a new $14 million funding round, despite claiming it has already achieved financial self-sufficiency ...

Decisions anchored in data can help organizations compete, scale and avoid risk, but only if teams verify the integrity of the data feeding analytics or AI systems before models are trained or ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

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

SAN FRANCISCO--(BUSINESS WIRE)--Monte Carlo, the data and AI observability company, today announced a series of product enhancements and new capabilities at its annual IMPACT Data Observability Summit ...

Electronic Health Records (EHRs) have transformed the landscape of clinical research by providing vast, longitudinal datasets that reflect real-world clinical practice. Their integration into research ...

A federal watchdog flagged this week that nearly three dozen federal agencies did not consistently certify their procurement data as required, raising concerns about oversight of federal contract ...

The Annual Report Card results are in, and the results in quality and reliability reflect the vendors that are most attentive to the fit and finish of their products. The ARC ranks vendors in 18 ...