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 ...

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

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 ...

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 ...

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 ...

Big-data observability startup Monte Carlo Data Inc. is the latest technology company to jump on the agentic artificial intelligence craze, launching a suite of Observability Agents designed to ...

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.

The integrity and reliability of U.S. economic data have come under increased scrutiny following a series of recent policy changes. There have been structural declines in response rates for household ...

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 ...

The push for expanded use of wearable devices and wider data collection in healthcare, at first glance, appears to be a logical next step for the industry. Though slow to adapt at first, healthcare ...

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 ...