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 ...
Verizon is building trust in AI through a robust data governance and quality framework. Analysis on responsible AI, telecom ...
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 ...
In healthcare, the costs are not merely financial. Incomplete, inconsistent or delayed electronic health records can lead to ...
In September 2025, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of Mauritius ...
Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...
We developed a framework of five data quality dimensions (DQD; completeness, concordance, conformance, plausibility, and temporality). Participants signed a consent and Health Insurance Portability ...
Quality data is the cornerstone of good business decisions. To ensure your data is high quality, it must first be measured. Organizations struggle to maintain good data quality, especially as ...
This report discusses the findings and recommendations of a diagnostic assessment of the quality of public sector debt ...
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