The idea is to let software continuously profile the data itself, learn what normal looks like and flag deviations without a ...

The U.S. Data Quality Tools Market is Projected to Reach $2.55 Billion by 2035 at an 11.10% CAGR, Driven by Enterprise AI ...

As enterprises race to implement AI and automation, one often overlooked factor can make or break their success: data quality. In fact, 72% of enterprises have adopted AI for at least one business ...

John Stenson from Malvern Panalytical explains why integrating multiple stability measurements onto a single platform is the ...

​“Bad data” can mean a lot of different things. It could be that the data is incomplete, outdated, duplicated, inconsistent or simply incorrect. A 2025 Adverity study of 200 chief marketing officers ...

Silent data drift can undermine AML detection without breaking a pipeline. Here’s how data contracts, validation, lineage, ...

Data quality has always been an afterthought. Teams spend months instrumenting a feature, building pipelines, and standing up dashboards, and only when a stakeholder flags a suspicious number does ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

While you’re pushing ahead with innumerable projects that rely on data in your organization, give attention to the quality of that data. Whether the data is collected in an analytic database for fraud ...

A recent survey by consultancy Neudata found that a third of data buyers believe data quality has gone down in recent years.