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

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 ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

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

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.

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 ...

Ensuring Data Quality and Reliability in Streaming Applications One of Nainani's notable achievements is her development of two patents that ensure data quality in streaming applications. The first ...