Approaching Infrastructure Challenges with Intelligence API

August 6, 2013

The rise of metadata is here, but will companies be able to harness its value? Concept Searching points to the answer that ROI has not been successful with this across the board. A recent article, “Solving the Inadequacies and Failures in Enterprise Search,” admonishes the laissez-faire approach that some companies have towards enterprise search. The author advocates, instead, towards a hands-on information governance approach.

What the author calls a “metadata infrastructure framework” should be created and should be comprised of automated intelligent metadata generation, auto-classification, and the use of goal and mission aligned taxonomies.

According to the article:

The need for organizations to access and fully exploit the use of their unstructured content won’t happen overnight. Organizations must incorporate an approach that addresses the lack of an intelligent metadata infrastructure, which is the fundamental problem. Intelligent search, a by-product of the infrastructure, must encourage, not hamper, the use and reuse of information and be rapidly extendable to address text mining, sentiment analysis, eDiscovery and litigation support. The additional components of auto-classification and taxonomies complete the core infrastructure to deploy intelligent metadata enabled solutions, including records management, data privacy, and migration.

We wholeheartedly agree that investing in infrastructure is a necessity — across many areas, not just search. However, when it comes to a search infrastructure, we would be remiss not to mention the importance of security. Fortunately there are solutions like Cogito Intelligence API that offer businesses focused on avoiding risks the confidence in using a solution already embedded with corporate security measures.

Megan Feil, August 6, 2013

Sponsored by, developer of Beyond Search


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