Inability to identify intelligent metadata from within content impacts the entire content management lifecycle. This challenge is compounded by the fact that only about 20 percent of the enterprises employ effective metadata and classification of their data. Carla Mulley, Vice President of Marketing, Concept Searching, describes how intelligent knowledge or intelligent metadata can be created using adaptive technology.
Adaptive technology refers to tools refined to deliver specific results. Moreover, these technologies offer an integrator bridge, which helps enterprises complete tasks. Therefore, to generate intelligent metadata adaptive technologies that:
In addition, the technology should be capable of capturing specific criteria for business applications employing the multi-term conceptual metadata produced at the source.
The result obtained by adopting adaptive technologies would be a rich set of intelligent metadata that reflects the unique terminology and vocabulary of an enterprise. Consequently, intelligent metadata becomes valuable for search, records management, compliance, legal and eDiscovery, and data privacy. Furthermore, the generated knowledge metadata becomes the basis for executing workflows to automate business processes.
Significantly, the generated knowledge metadata can improve data strategy, enhance productivity, facilitate innovation, prevent data breaches, and reduce the risk of non-compliance. In short, data becomes an asset and hence it is reusable, relevant and easy for the employees to leverage.
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