Thursday, June 11, 2009
Structured processes for accessing actionable knowledge continue to fail. In part, most large enterprises are slow to change, slow to learn. There is a very large body of literature going back to late 40's addressing the psychology of organizational change. the eternal conundrum- knowing vs. doing.
Today with the advent of near instant communication the knowing doing cycle has gone from months to days to hours to minutes to seconds to sub-seconds. Traditional organizations are simply not designed to take advantage of the knowing doing rapid cycle.
So here is my thought for the day- successful knowledge workers and warfighters need near instant access to information held by others outside of the formal information hierarchy. This very idea goes to the heart of the next evolution of information discovery, knowledge sharing resulting in actionable information.
For the first time ever such a platform has come into being. With it distributed teams anywhere in the world can share ideas, discoveries and a ha moments by using the iQuest grid-based knowledge discovery and distribution platform.
For the first time ever, a platform has been built to access any information anywhere based on both permissions basic social interpersonal and group constructs (known as various forms of social networking).
Monday, November 24, 2008
Thursday, November 13, 2008
I came across this recent post The evolving federation of search’ http://www.kmworld.com/Articles/Editorial/Feature/The-evolving-federation-of-search--51415.aspx and thought the money quote from Sue Feldman was "If you understand you can get at this information without having to sort it or structure it in any way ahead of time—although you certainly can—and that it doesn't require that you have the same structure across multiple information sources—that's really the beauty of these technologies”
Yes federation of search produces better findability but that’s the easier issue to address.... its the semantics for true contextual search that’s the tough part.
The enterprise and web information access and search market is bursting at the seams with new products that focus on Semantic Enhancement, which is designed to add contextual meaning across a variety of enterprise applications, databases, content repositories and the Web.
Most of today’s solutions that index and normalize information (data and content) fail to completely resolve metadata and contextual semantic relationships. More comprehensive methods that require building and maintaining ‘knowledge models’ are human capital intensive and expensive.Today, tens of millions of dollars are spent on paying skilled knowledge workers to "manage" metadata taxonomies and ontologies.
While ‘knowledge models’ and machine AI can approximate to the skill, accuracy and speed of a human being to find meaningful patterns in data we at iQuest Analytics believe that the greatest pattern matcher is still the human brain....at least for the next 15 - 20 years ;)
With iQuest BlueAnt we allow patterns in the data based on grammatical network relationships to assist the skilled knowledge worker to infer relevant meaning with context. By creating a rich semantic knowledge structure index we allow users to uncover more relevant information with ‘Contextual Search and Analysis with Intelligent Discovery’ for better sense-making that’s crucial for uncovering hidden patterns and relationships with actionable insights.
- Steve Ardire, iQuest EVP Strategy
Monday, October 13, 2008
When analyzing a corpus of documents for meaning a user must go beyond what is contained in individual documents and investigate how documents are related by common terms, concepts, ideas and meaning. Sometimes, meaning appears only in the relationships among a set of documents, meaning which is not discernible in any individual document. Thus, an analytic tool must be able to guide the user into seeing document relationships. At a fundamental level, these relationships are the terms that are common among any given set of documents. Term level relationships can then be built into concepts, ideas and meaning relationships.