Risks to the quality of official U.S. economic data - long seen as the gold standard - are worrying 89 of 100 top policy ...

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 ...

As data becomes everything to everybody, it’s crucial to oversee the quality of information that runs through an organization. When information is ingested by systems analytically and output in ...

It’s no longer how good your model is, it’s how good your data is. Why privacy-preserving synthetic data is key to scaling AI. The potential of generative AI has captivated both businesses and ...

Data management has been changing rapidly in the era of generative and agentic AI, with even more change from the vendors covered here likely in store in 2025.

As one of the best data governance tools, Ataccama ONE combines data quality, master data management and data governance into a unified, AI-charged fabric across hybrid and cloud environments.

PHILADELPHIA--(BUSINESS WIRE)--Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today released a new survey of 500 professionals working with ...

We talk to Cody David of Syniti about how to ensure data quality in datasets for AI, why a ‘data-first’ attitude is key, and the quick wins an organisation can gain in data quality.

“The truthfulness or reliability of the data, which refers to the data quality and the data value. Big data must not only be large in size, but also must be reliable in order to achieve value in the ...

A leader in consumer insights for over 60 years, MRI-Simmons possesses one of the few single-source, privacy-compliant data sets that is widely used for consumer profiling, media planning, data ...

The application of AI to health-care data has promise to align the U.S. health-care system to quality care and positive health outcomes. But AI for health care hasn’t reached its full capacity.

The researchers estimate that in the three data sets — called C4, RefinedWeb and Dolma — 5 percent of all data, and 25 percent of data from the highest-quality sources, has been restricted.