Enriching metadata with better tags and descriptions makes search quicker and easier. Recent advances in IT and artificial intelligence (AI) offer remarkable opportunities for the automatic enrichment of metadata with minimal resources. Involving humans in this work still remains important.
Metadata enrichment is about the filtering of incoming data in a governed data landscape by applying appropriate business terms, data classes, and quality assessments, so the new data can properly be discovered, governed, and utilized to its best effect specific to the enterprise.
Data enrichment is important because it helps organizations know more about their users without asking them for extra information. For instance, they can verify someone’s identity simply by asking them their email address. It helps to reduce risk without increasing user friction and slowing down the user experience.
At the end of the day, content needs to be findable, and that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, 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, changing search to found.
