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July/August 2015, [Volume 24, Issue 7]

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Features

Enterprises are using only about 25 percent of their unstructured data for insights and decision-making, while they are using 35 percent of their structured data for those purposes, according to a survey conducted by Forrester. One reason for the lag is that unstructured data is not as straightforward to analyze and interpret. Posted July 03, 2015

Financial services companies are using a variety of knowledge management solutions to locate documents and disseminate information across the enterprise, for improved contact center performance and to mine data from employee feedback surveys. Posted July 03, 2015

Several trends are contributing to strong growth in the e-discovery market, including the ever increasing amount of litigation, greater volumes of data and a move toward adding in-house e-discovery capabilities. Posted July 03, 2015

As companies look to embrace mobile and multichannel options to serve customers on their own terms, they rely on knowledge management to implement such processes as bill payment and insurance claims. Posted July 03, 2015

News Analysis

A shift from traditional information management methods is taking place. The shift is not revolutionary. The change is evolutionary. At some point enterprise knowledge solutions give way to newer, smarter and predictive systems. Posted July 03, 2015

Analytics is moving toward a new era. Businesses want to use machines as a cognitive platform driven by data. The term "cognitive computing" is rising in popularity, the notion being that it brings new value to big data by combining artificial intelligence and machine learning. Posted July 03, 2015

David Weinberger

The idea of metadata used to be easy. It was a type of shadow object that trailed the "real" object of which it was the metadata. Getting right which information to put into that shadow object wasn't easy, but the concept itself was clean, clear and usually rectangular. Posted July 03, 2015

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