AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a ...

As the saying goes, you can't improve what you don't measure. To ensure that data is flowing properly through various pipelines, processes, and workflows -- and that data is accurate, consistent, and ...

As companies rely more heavily on real-time analytics and AI-driven tools, data engineering is evolving into a role that ...

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 ...

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 ...

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.

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 ...

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 ...

Bigeye’s Dependency-Driven Monitoring platform, announced on March 25, is a data observability solution that allows enterprise data teams to see more trustworthy results from their CRM systems. The ...

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 ...