Manual tagging, is still highly prevalent in many, if not in most organizations. Even with providing business users with the tags to select from a drop down list, the approach is haphazard at best. Inconsistent, erroneous, and subjective metadata can wreak havoc when solving metadata application challenges. They can become specifically harmful when they impact a core business process, for example records management and resulting non-compliance issues.
The elimination of end user tagging in automatic semantic metadata generation capabilities represents a significant step forward in managing content. The savings result in a productivity advantage as well as the improved accuracy of the tagging. This functionality also provides the missing piece as illustrated through the automatic identification and tagging of documents of record and in the automatic identification and protection of secure content assets in accordance with compliance procedures. This makes available the ability to apply policy consistently across diverse repositories and environments, fundamental to information governance. This accuracy cannot be achieved by manual or prompted tagging, nor through simple metadata generation techniques.
Do these tools exist? Sure they, do we make one. And we do have competitors. Any organization that places high value on unstructured and semi-structured content should evaluate these tools. Just beware as some vendors will promise pie in the sky and often organizations end up with a pie in the face.