| CATEGORY: E-mail Management |
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KMWorld 100 Companies That Matter in Knowledge Management
When we established our list of 100 Companies That Matter 10 years ago, "knowledge management" was just beginning to be a recognized term in the boardroom. KM is not now (nor will it ever likely be) a household word. Nor is it an application. It's an attitude, a commitment to excellence and innovation shared by the companies, large and small, on this list. A decade ago, a lot of vendors were so intoxicated by their technology that they tried to woo their customers with dazzling features, capabilities they thrust upon clients without fully understanding their legitimate needs. Now, in 2010, that's no longer true. The firms on this list are true solution providers that are dedicated to understanding what their customers need and delivering elegant technology for the requirements of the knowledge economy...
Feature,
Posted 01 Mar 2010
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E-discovery in a challenging economy
Recent surveys confirm casual observation that lawsuits are a large and growing part of the U.S. economy. A variety of surveys indicate that anywhere from half to nearly 90 percent of businesses, depending on the size and field, were faced with at least one in the past year. Yet many organizations remain completely unprepared. See what columnist Judith Lamont has to advise in this recent article from KMWorld magazine.
Feature,
Posted 28 Oct 2009
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Information Governance
It’s No Longer Merely "Nice to Have"
In a challenging economic climate, the name of the game is lowering costs and doing more with less. In our personal lives, we postpone or forego purchases that we do not deem absolutely necessary. In our business lives, we look for ways to do things more efficiently. We cut costs from day-to-day operations and take steps to increase the productivity and value of resources...
Article,
Posted 18 Aug 2009
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Text Analysis: The Next Step in Search
Finding Without Knowing What is Available
or What You’re Looking For
In general, text analysis refers to the process of extracting interesting and non-trivial information and knowledge from unstructured text. Text analysis differs from traditional search in that, whereas search requires a user to know what he or she is looking for, text analysis attempts to discover information in a pattern that is not known beforehand (through the use of advanced techniques such as pattern recognition, natural language processing, machine learning and so on). By focusing on patterns and characteristics, text analysis can produce better search results and deeper data analysis, thereby providing quick retrieval of information that otherwise would remain hidden.
Text analysis is particularly interesting in areas where users must discover new information, such as in criminal investigations, legal discovery and when performing due-diligence investigations. Such investigations require 100% recall; i.e., users cannot afford to miss any relevant information....
Article,
Posted 01 Jun 2009
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Top of the fourth
e-Discovery solutions from Kazeon
Breaking News,
Posted 20 May 2009
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