People-focused knowledge management



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People.Focused.Knowledge.Management.

Technology Focus
Broad artificial intelligence (AI) technologies for automation 
of reasoning in operations, diagnostics and trouble-
shooting, research and creative exploration, and information
management.
Natural language understanding (NLU) and reasoning for infor-
mation management tasks such as abstracting, prioritizing, and
routing, and for automated situation-handling of cases with
varying complexity.
Automated performance support systems (PSS) to complement
knowledge workers with reasoning and other capabilities for
complex tasks.
Mathematical modeling of business and social processes to
support “soft computing” and other exploratory and computa-
tional synthesis methods.
Greater reasoning sophistication of computer-based systems to
reduce operating costs, improve reliability of routine tasks, and
free employees to perform higher value work.
State-of-the-art information technology-based infrastructure
functions to support communication, collaboration, and many
other processes.
The Bar Has Been Raised — NGKM Implications
NGKM provides new opportunities and many challenges for
researchers and KM capability suppliers, whether consultants, tech-
nology suppliers, or other parties. Researchers in areas such as the
cognitive sciences, epistemology, the social sciences, organizational
sciences, management theory, economics, and AI and informatics will
need to tackle a range of new issues. A number of topics require
investigations of how people and organizations create and utilize
knowledge and how one might enhance and deal effectively with
these processes with operational methods and technologies.
KM products are becoming increasingly more sophisticated, 
and suppliers need to include new capabilities to build their wares
on firm and fundamental understandings of underlying processes and
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People-Focused Knowledge Management in Daily Operations
231
mechanisms, as explained by scientific findings and practical experi-
ence. We expect a clearer distinction between supplier types such as:
Providers of services to create KM capabilities and associated
management systems.
Providers of tools for knowledge audits and analysis such as
knowledge mapping, knowledge diagnostics, knowledge inven-
tory management, and IC navigators.
Providers of KM capability development tools, such as auto-
matic reasoning tools, knowledge discovery in databases (KDD),
tools to build structural knowledge from personal knowledge,
and tools to create ontologies.
Providers of support facilities for KM capabilities such as col-
laboration environments.
Providers of KM capabilities such as expertise knowledge bases
and educational systems.

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