From cost reduction to improved efficiency, upholding data quality improves the accuracy of analytics and enhances business decision-making capabilities. However, simply having a data quality ...
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 ...
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 ...
Poor data quality costs organizations an average of $12.9 million annually. Yet most enterprises continue to operate with duplicate rates of 20% to 30%, treating data quality as a technical problem ...
If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...
We developed a framework of five data quality dimensions (DQD; completeness, concordance, conformance, plausibility, and temporality). Participants signed a consent and Health Insurance Portability ...
Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...
The White House AI Action Plan charts an ambitious path to make America the global leader in artificial intelligence (AI), with its emphasis on innovation, infrastructure and international leadership.
What does a data quality manager do? Your email has been sent A data quality manager is responsible for assessing, managing and maintaining data quality across an organization. This can include ...
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