July/August 2015, [Volume 24, Issue 7]
Features
Text analytics broadens its reach
Judith Lamont, Ph.D. //
03 Jul 2015
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.
It’s not just about money in financial services
Information is imperative!
Phil Britt //
03 Jul 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.
E-discovery powers up legal processes
Judith Lamont, Ph.D. //
03 Jul 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.
Meeting customer demand for mobile and multichannel solutions
Phil Britt //
03 Jul 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.
News Analysis
Big begets big: The information governance challenge
Stephen E. Arnold //
03 Jul 2015
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.
Cognitive computing
Making machines think
Ramanpreet Singh and Fiona McNeill //
03 Jul 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.
COLUMNS:
David Weinberger
Dissolution of metadata
David Weinberger //
03 Jul 2015
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.