To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...
On September 12, at the 2025 Inclusion Bund Conference’s forum on "Data Meets AI: The Dual Engines of the Intelligent Era," ...
REDWOOD CITY, Calif., June 28, 2023 — Alation, Inc. announced at Snowflake’s annual user conference, Snowflake Summit 2023, the launch of the Open Data Quality Framework to bring best-of-breed data ...
To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the ...
An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...
The Cybersecurity and Infrastructure Security Agency (CISA) has released CISA Strategic Focus: CVE Quality for a Cyber Secure ...
We developed a framework of five data quality dimensions (DQD; completeness, concordance, conformance, plausibility, and temporality). Participants signed a consent and Health Insurance Portability ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data quality, a subset of data intelligence, is a topic that many ...
Forbes contributors publish independent expert analyses and insights. The path to enterprise AI maturity runs directly through data. However, constructing AI-ready data platforms is more than just a ...
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