Data integrity is of paramount importance in business decision-making. Improving data integrity involves implementing measures to ensure the accuracy, consistency, and reliability of data throughout its lifecycle. CMS Wire brought this interesting topic to us in their article, “Maximizing AI and Machine Learning with Quality Data.”
In conjunction with data integrity, establishing robust data governance practices including data ownership, stewardship, and accountability is critical. Clearly define roles and responsibilities for data management to ensure adherence to data standards and policies.
Data integrity ensures that the information used for decision-making is reliable. Decision makers rely on trustworthy data to formulate strategies, identify trends, and make informed choices that can directly impact the success of a business.
Having dependable data, in turn, only works if access is easy. Data Harmony is our patented, award-winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative, and precise semantic discovery of your new and emerging concepts, to help you find the information you need when you need it.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
