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Volume 14, Issue 4
Jul/Aug 2000
Theme: Knowledge Management, Expert Systems and E-Business

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Knowledge Management Trends: The Role of Knowledge in E-Business Daniel W. Rasmus examines how knowledge management continues to be redefined, redefining how organizations view their operations, relationship to staff and external parnerships. Over the next two years, several dramatic changes are on the horizon that will change the nature of business, and the understanding of knowledge and its role will be critical to the success of organizations that not only survive, but thrive in the new economy.
Prolog Predcicts Chemical Properties: No Laboratory Required Kenneth A. Bowen describes a Prolog-based expert system that accurately predicts complex compound properties based on structure alone.
Expert Sysetms for Online Advice: Knowledge at Your Fingertips Dustin Huntington explores Web based delivery of online advice via expert systems.
AI@Work Smarter Knowledge Management Applications: Lisp; AMP Connects with its Knowledge: Becoming a Knowledge-Based Organization; Data Mining as a Trading System Enhancement: Financial Modeling and Trading System Development.
Flavors of Web-based Text Retrieval: Intelligent Searching Elizabeth Thede delineates three text retrieval paradigms on the Web.
Saving Corporations Millions: The Benefits of Modeling Paul Van Buskirk illustrates how a small investment produces a large ROI.

Intelligence Files - Everything Old is New Again by David Blanchard
AI and the Net - Web-based Expert Systems: Old Technology and New by Mary Kroening
The Book Zone - Neural and Adaptive Systems and Fractal Imaging by Will Dwinnell
Product Updates -----------------------------> 29 late breaking product announcements from around the world in the fields of:
  Business Forecasting Data Mining and Data Analysis
  E-Business Solutions Expert System Development Tools
  General Artificial Intelligence Help Desk
  Intelligent Portals Intelligent Tools
  Internet and Web Market Analysis
  Modeling and Simulation Object Oriented Development
  Training Voice Recognition
  Announcements Additional Product Updates
Product Service Guide - Provides access to information on an entire category of products    
PC AI Blackboard - AI advertisers bulletin board    

Advertiser List for 14.4
Abstract Productions Exsys Recruiting Rule Automation
AI Developers  Franz Inc Salford Systems 
Amzi! Inc.  Frontier GlobalCenter Sonalysts
And Corporation Logic Programming Associates Ltd StatSoft
Angoss Software Corporation Megaputer Intelligence The Haley Enterprise
Applied Logic Systems Morgan Kaufmann Publishers The MathWorks
ATTAR Software USA NeuroDimension The Modeling Agency
BioComp PC AI Back Issues Tool USA 2000
Blaze PC AI Banner Ad  Ward Systems Group Inc.
Cyber Squire PC AI Back Issues WizSoft Inc
DCI PC AI Reprints Worldfree Corp.
Digital Restaurant Solutions Production Systems Technologies
dtSearch  Prolog Development Center


The Knowledge Transfer

Guest Editorial by Daniel W. Rasmus

Knowledge Management (KM) means many things to many people. To some it means extracting relationships in data warehouses through data mining and business intelligence, or coalescing an organization's diverse digital assets under a web portal - making those assets easily available to employees and partners. To others, it means collaboration with technology only begrudgingly applied to issues of time and distance. In fact, knowledge management is all of these things and more. It is a large umbrella concept, encompassing everything from customer relationship management to ERP (Enterprise Resource Planning), from document management to groupware.
  This issue focuses on exploring the various aspects of knowledge management, along with the usually deeper technical explorations. While reading these articles, keep one key question in mind: how does KM support the transfer of knowledge from one person to another? That question is fundamental to increasing the competency of organizations.
  Even with expert systems, we find what were perceived as failures were actually great successes, bur for reasons other than what the designer intended. A classic story is the Campbell Soup Cooker expert system - designed to capture the knowledge of a key engineer's insight into the processes and technologies that delivered high quality soup. The expert system project went well and was clearly a success. Eventually, however, the system fell into disuse. Investigations showed that after using the expert system, people learned everything it had to offer and no longer needed its guidance to make their decisions. In fact, they went beyond the system because, unlike the tool, they continued to learn.
  When I present on knowledge management, I constantly reiterate that the only true, living knowledge exists in people. The third time a help desk specialist responds to a question about an HP laser printer paper jam, it is a good bet they will not turn to the system for the solution - they know the answer.
  This learning is itself a threat to new types of KM applications such as expertise management. Similar to some expert systems, once people establish personal relationships, these tools fall into neglect and loose their reinforement mechanisms.
  In the end, knowledge management is about people learning, and that learning takes place in many venues, using many channels. Only under the guise of Communities of Practice do we find the correct mix of people, process and technology that can be said to truly own and manage knowledge through focused learning, dialog and innovation. Technology is an absolute necessityh for managing content, discovering relationships between documents, catalyzing collaboration and delivering information. But despite its best efforts, technology remains the facilitator of knowledge transfer, not the encapsulation of it.
  Daniel W. Rasmus
Vice President and Research Leader
Knowledge and Information Management
Giga Information Group

Volume 14---------------------> Issue 1 (Jan/Feb 1998)   Volume 15 Index (2001)
  Issue 2 (Mar/Apr 1998)   Volume 14 Index (2000)
Issue 3 (May/Jun 1998)   Volume 13 Index (1999)
Issue 4 (Jul/Aug 1998)   Volume 12 Index (1998)
Issue 5 (Sep/Oct 1998)   Volume 11 Index (1997)
Issue 6 (Nov/Dec 1998)   Volume 10 Index (1996)
      Volume 9 Index (1995)
      Volume 8 Index (1994)

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