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Knowledge Management

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Between sections or locations. Provide external connections. Usually operated by Data Workers ... Knowledge Management Genetic Algorithms. Algorithm (Procedure) ... – PowerPoint PPT presentation

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Title: Knowledge Management


1
Knowledge Management
  • PBCS Lecture 6

2
Knowledge Management
  • What is Knowledge Management
  • The process of storing, managing and providing
    access to the store of knowledge within an
    organisation
  • Critical to organisation
  • Critical to survival

3
Implementing Maintaining a Knowledge Management
Policy
  • Appropriate IT Structure
  • Staff to manage knowledge
  • Train knowledge workers
  • Chief KW,
  • Design new systems
  • ID Sources of knowledge

4
Knowledge Management Data Workers data/trans
  • Knowledge Workers Create
  • Knowledge and new prod/serv

5
Problems with Knowledge Management
  • Lack of appropriate IT structure
  • Poor training
  • Two specific problems with K/Management
  • Inadequate systems to produce and distribute
    knowledge
  • Workers do not know what is available

6
Knowledge Management Types of Knowledge
  • Three types of knowledge captured
  • Structured internal knowledge
  • External knowledge
  • Informal internal knowledge
  • Structured and External focus of knowledge
    management systems
  • Informal (most useful) hard to collect

7
Knowledge Management Knowledge Support Systems
  • Effective Knowledge Management

8
Knowledge Management Distribution of Knowledge
  • Office Automation System (OAS)
  • Distribute knowledge within an Organisation
  • Co-ordinate work within section or locations
  • Between sections or locations
  • Provide external connections
  • Usually operated by Data Workers

9
Knowledge Management Activities of an OAS
  • Document management
  • Scheduling work of data/knowledge
  • Managing communication
  • Obtaining and managing data

10
Knowledge Management Network Topologies
  • PCs with Network Access
  • LANs and Gateways
  • WANs and Internet/WWW
  • Intranets
  • Extranets
  • Value Added Networks
  • VPNs

11
Knowledge Management Share Knowledge
  • Using NETWORK to provide access to databases and
    communication systems to share Knowledge with
    workers
  • Two systems are used
  • Groupware
  • Intranets

12
Knowledge Management Groupware, SW to allow
sharing info
  • Group writing and commenting
  • Email distribution
  • Scheduling meeting
  • Projects maintenance
  • Meeting and conferences

13
Knowledge Management Groupware and Knowledge
Workers
  • Essential to Knowledge Workers (Domino/Exchange)
  • Simultaneous access
  • Duplication
  • Discussion databases
  • Management/security
  • Application development

14
Knowledge Management Intranets
  • Private Internet (HTML)
  • No Particular HW
  • Maybe extended to an Extranet (3rd party access)
  • Quick/cheap mechanism for sharing

15
Knowledge Management Benefits of using Intranet
  • Low start up cost
  • Reduced distribution
  • Low training cost
  • Easy to expand
  • Functionality of HTML

16
Knowledge Management Comparison of GE and
Intranets
  • Cost
  • Document tracking
  • Security
  • Robust
  • Size of organisation

17
Knowledge Management Create Knowledge
  • A main function of Knowledge Workers
  • To assist with Creation of Knowledge
  • Appropriate SW and HW Systems
  • External Knowledge
  • User friendly interface
  • Technology and power

18
Knowledge Management Other requirements
  • Technical Cost
  • Working environment
  • Flexible working hours

19
Knowledge Management Capture and ID Knowledge
  • Entering onto systems
  • Codifying (defining the rules)
  • Why is AI Required
  • Preserve knowledge
  • Eliminate routine
  • Enhanced storage
  • Analyse large problems
  • Objective overview

20
Knowledge Management Expert Systems
  • Building blocks for AI
  • Decisions based on rules (lots of rules)
  • IF Then Else
  • Use of expert systems
  • Problems with expert systems

21
Knowledge Management Case Based Reasoning
  • Alternative to Expert System
  • Small area (ex. LoanApplication)
  • Can also learn

22
Knowledge Management Neural Nets
  • Combination of HW and SW which attempts to
    emulate human reasoning
  • I/P/O, large interconnected processors which
    effectively learn
  • More effective than expert systems

23
Knowledge Management Fuzzy Logic
  • Introduction of imprecision into computers
  • Ex. Range of temperatures in a room
  • May be able to assist Data Workers with capture
    and codification of knowledge by tracking
    potentially unreasonable items

24
Knowledge Management Genetic Algorithms
  • Algorithm (Procedure)
  • Which adapts or changes to environment

25
Knowledge Management Intelligent Agents
  • SW programs given specific tasks
  • Human works on other things
  • Agent reports back when complete

26
Problems with Knowledge Management
  • Inefficient capture of Knowledge
  • Failure to appreciate
  • Measuring intangible benefit of knowledge
  • Information overload
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