BIS M2 Knowledge Management

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Knowledge • Knowledge acquisition includes discovery of – Patterns – Rules – Contexts • Various forms of knowledge includes – Tacit or Explicit – Know-how, Craft, Skill – How to follow procedures – Why things happen

Transcript of BIS M2 Knowledge Management

Page 1: BIS M2 Knowledge Management

Knowledge

• Knowledge acquisition includes discovery of– Patterns– Rules– Contexts

• Various forms of knowledge includes– Tacit or Explicit– Know-how, Craft, Skill– How to follow procedures– Why things happen

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DataA Record of a

Change of State

“1840KL0617”“

Information

“The flight from Cochin leaves at 18:40 hours

Data organized with

a purpose. A message

Knowledge

“that’s not a good flight; Often busy and delayed”

Literally…

what people know

From Data To Knowledge

JMV ILU?!

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The knowledge management value chain

Acquire

Apply Store

Disseminate

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The KM Supply Chain – ACQUIRE

• Knowledge Discovery

• Data Mining

• Neural Networks

• Genetic Algorithms

• Knowledge Workstations

• Expert Knowledge Networks

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The KM Supply Chain – STORE

• Document management systems

• Knowledge databases

• Expert Systems

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The KM Supply Chain- DISSEMINATE

• Intranet Portals

• Push e-Mail reports

• Search Engines

• Collaboration

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The KM Supply Chain - APPLY

• Decision Support Systems

• Enterprise Applications

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An Enterprise Information Portal

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Knowledge Work Systems - Examples

Computer Aided Design

Computer Aided manufacturing

Virtual Reality Systems

Investment Work Stations

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Knowledge Work Systems - Some Tools

Collaborative Computing Tools: Lotus Notes / Domino Server,

DocumentumKnowledge Servers: HummingbirdEnterprise Knowledge PortalsElectronic Document Mgmt:

Docushare, Lotus NotesKnowledge Harvesting Tools:

Knowledge MailSearch Engines: GoogleKM Suites: Lotus Notes

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Management Training Institute 11

Elements of KM Strategy

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Research in AI

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• Knowledge Base

• Rule-based Expert System

• Rule Base

• Knowledge Frames

Expert Systems

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• Hardware or software emulating processing patterns of biological brain

• Put intelligence into hardware in form of a generalized capability to learn

Neural Networks

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• Rule-based AI

• Tolerates imprecision

• Uses nonspecific terms called membership functions to solve problems

Fuzzy Logic

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• Problem-solving methods

• Promote evolution of solutions to specified problems

• Use a model of living organisms adapting to their environment

Genetic Algorithms

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Software Agents

GENERAL• Buyer agents or shopping bots (eBay, Amazon)• User (or personal) agents • Monitoring-and-surveillance agents • Data Mining agents SPECIAL• Spam (UBE) filters• Game-bots


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