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KNOWLEDGE MANAGEMENT
UNIT II
KNOWLEDGE MANAGEMENT AND TECHNOLOGY
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Learning Objectives
1.
2.
3.
4.
5.
Knowledge management systems: meaning
Purpose of knowledge management systems
Principles of knowledge management systems
Knowledge management system components
Artificial intelligence, human intelligence Vs.
artificial intelligence
6. Artificial intelligence and conventional
computing
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Knowledge management systems: meaning
• Knowledge management systems refer to any kind of IT
system that stores and retrieves knowledge, improves
collaboration, locates knowledge sources, mines
repositories for hidden knowledge, captures and uses
knowledge, or in some other way enhances the KM
process.
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Purpose of knowledge management systems
• Knowledge management systems provide the
technical support to enable knowledge capture
and exchange to occur freely, readily and
openly across the many different stakeholders in
organizations.
• KMS provides each user with a channel to
acquire, document, transfer, create and apply
knowledge to meet the organization’s
knowledge priorities.
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Principles of knowledge management systems
1. Systems have a defined purpose and boundary
2. Systems are normally controllable
3. Systems incorporate a number of interrelated
components.
4. Various stakeholders have important roles in
supporting the KMS.
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Systems have a defined purpose and boundary
• The purpose is to facilitate knowledge capture
and distribution in an organizational
environment.
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Systems are normally controllable
• KMS determine what comes in and what goes
out.
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Systems incorporate a number of interrelated components.
• KMS subsystems enable communication,
knowledge capture, storage and transfer of
knowledge objects.
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Various stakeholders have important roles in supporting the KMS.
• The end-user contributes, acquires or consumes
knowledge through use of the system. Any
system must be both accessible to and
compatible with end-users.
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Knowledge management system components
1.
2.
3.
4.
Business process management
Content management
Web content management
Knowledge applications management
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Business process management
• Business process management describes the
processes that are required to support the
business practices of the organization.
• Various systems operate in the firm, like the
systems related to finance, HR and decision
making, to ensure the effective integration of
business.
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Content management
• Content management relates to the intellectual
content of the knowledge management system.
This ensures users that they can efficiently
retrieve knowledge on a particular topic. It
provides a range of strategies for indexing,
organizing and storing the resources that are
linked to the KMS.
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Web content management
• Web content management focuses on building
an effective website framework through which
users may access the KMS.
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Knowledge applications management
• Knowledge applications management ensures
that the users are provided with the application
packages and specialist tools for creating and
using their knowledge.
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Artificial Intelligence
What is Intelligence?
Intelligence is the ability to learn
about, to learn from, to understand
about, and interact with one’s
environment.

Artificial Intelligence (AI) is defined
as the science of making
computers to do things that require
intelligence when done by
humans.

Artificial Intelligence is the study of
ideas that enable computers to be
intelligent
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Human Intelligence VS Artificial Intelligence
Pros
Human Intelligence
• Intuition, Common sense,
Judgment, Creativity, Beliefs
etc
• The ability to demonstrate
their intelligence by
communicating effectively
• Plausible Reasoning and
Critical thinking
Artificial Intelligence
• Ability to simulate human
behavior and cognitive
processes
• Capture and preserve
human expertise
• Fast Response. The ability to
comprehend large amounts
of data quickly.
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Human Intelligence VS Artificial Intelligence
Cons
Human Intelligence
Artificial Intelligence
• Humans are fallible
• They have limited
knowledge bases
• Information processing of
serial nature proceed very
slowly in the brain as
compared to computers
• Humans are unable to retain
large amounts of data in
memory.
• No “common sense”
• Cannot readily deal with
“mixed” knowledge
• May have high
development costs
• Raise legal and ethical
concerns
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Artificial Intelligence VS Conventional Computing
Artificial Intelligence
• AI software uses the
techniques of search and
pattern matching
• Programmers design AI
software to give the
computer only the problem,
not the steps necessary to
solve it
Conventional Computing
• Conventional computer
software follow a logical
series of steps to reach a
conclusion
• Computer programmers
originally designed software
that accomplished tasks by
completing algorithms
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KNOWLEDGE MANAGEMENT
UNIT II
KNOWLEDGE MANAGEMENT AND TECHNOLOGY
19