For an organization to be successful in this new digital reality, it must be data-driven and not just any data. Without intelligence, data is just data. Data intelligence is the practice of using artificial intelligence (AI) and machine learning tools to analyze and transform massive datasets into intelligent data insights, which can then be used to improve services and investments. Database Trends and Applications brought this interesting information to us in their article, “The Value of Robust Data Intelligence to Enable Data Governance.”
The application of data intelligence tools and techniques can help decision makers develop a better understanding of collected information with the goal of developing better business processes.
Data intelligence supports human understanding. By answering key questions around the who, what, where and when of a given data asset, data intelligence paints a picture of why organizations might use it, educating on that asset’s reliability and relative value. Insights into how an asset’s been used in the past inform how it might be intelligently applied in the future.
At the end of the day, data needs to be findable; that happens with a strong, standards-based taxonomy. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies and associated rule bases for machine-assisted indexing.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, changing search to found.
