High-value data — from health records and financial transactions to mobility, energy and environmental datasets — now sits at the intersection of national strategy, economic growth, and AI capability.

Saptaparna Gupta's Data Quality Control Assessment (DQCA) proactively embeds quality checks into financial workflows, ...

BOSTON, Oct. 15, 2025 (GLOBE NEWSWIRE) -- Ataccama, the AI-powered data trust company, today announced a native integration with Atlan, bringing Ataccama’s automated data quality intelligence directly ...

AI in quality assurance (QA) is quietly becoming one of the most powerful tools available to executives. Strong QA does not ...

You already make more choices in a morning than most people make all day. The real tax on your Calendar is not the decision ...

Turn rules into automatic checks. Convert your business rules into a machine-readable checklist that runs every time someone ...

For several years, I have been an advocate for the concept of positive data control or PDC. It is the idea of placing a layer ...

There is a “bottom-up approach to data collection” to encourage a focus on usefulness, and a ‘maker-checker-approver’ data ...

AIDA brings together the years of machine learning, profiling and data quality intelligence we’ve built at Anomalo into a reasoning engine that truly understands enterprise data,” said Elliot Shmukler ...

We all understand the importance of data quality. Metrics—such as third-party validations, match rates, and accuracy scores—help us assess data quality on its own terms. Yet, too often, organizations ...

McDermott+ is pleased to bring you Regs & Eggs, a weekly Regulatory Affairs blog by Jeffrey Davis. November 4, 2025 – Trick ...

A new era of autonomous data management has begun with the emergence of Agentic AI, the systems that can observe, learn and ...