KNOWLEDGE MANAGEMENT

UNIT II

KNOWLEDGE MANAGEMENT AND TECHNOLOGY

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Learning Objectives

1. Knowledge management systems: meaning2. Purpose of knowledge management systems3. Principles of knowledge management

systems4. Knowledge management system components5. Artificial intelligence, human intelligence Vs.

artificial intelligence6. 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 controllable3. 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. Business process management2. Content management3. Web content management4. 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

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.

Pros

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• 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

Human Intelligence VS Artificial Intelligence

Human Intelligence Artificial Intelligence

Cons

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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

Artificial Intelligence VS Conventional Computing

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KNOWLEDGE MANAGEMENT

UNIT II

KNOWLEDGE MANAGEMENT AND TECHNOLOGY

19