Intelligent agents without the hype: why they work best with well structured content
A practical example and real-life case study is presented illustrating how one UK software company, Vrisko, has approached and managed the issues and problems of developing intelligent agent software and applying it in a business context. Describes some of the lessons learnt by the company in buildi...
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Published in | Business Information Review Vol. 19; no. 4; pp. 22 - 28 |
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Main Author | |
Format | Journal Article Trade Publication Article |
Language | English |
Published |
Thousand Oaks, CA
SAGE Publications
01.12.2002
Sage Bowker-Saur Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | A practical example and real-life case study is presented illustrating how one UK
software company, Vrisko, has approached and managed the issues and problems of
developing intelligent agent software and applying it in a business context.
Describes some of the lessons learnt by the company in building applications which
are currently being used by knowledge intensive organizations such as Citigroup, the
world’s biggest bank and Linklaters, the UK’s second largest law
firm, to interface with highly structured content from some of the world’s
major business and financial publishers. Highlights the importance of content and
the way content is organized and structured, to reinforce the point made by various
pundits, that intelligent agent software works best with well structured content.
Offers four predictions: that online content will be better organized and
structured; that intelligent search tools will continue to improve; that users will
expect external content integrated with their internal applications and intelligent
agents to reflect and support their internal business processes; and that the skills
of information professionals will become even more important, as organizations
increasingly use intelligent agents and other technologies to build applications
which optimize the value of information to their business. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0266-3821 1741-6450 |
DOI: | 10.1177/026638202761175347 |