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12. MANAGING KNOWLEDGE. Learning Objectives. Explain organizational knowledge management Describe useful applications for distributing, creating, sharing knowledge Evaluate role of artificial intelligence in knowledge management *. Learning Objectives.

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Presentation Transcript
slide1

12.

MANAGING

KNOWLEDGE

learning objectives
Learning Objectives
  • Explain organizational knowledge management
  • Describe useful applications for distributing, creating, sharing knowledge
  • Evaluate role of artificial intelligence in knowledge management

*

learning objectives3
Learning Objectives
  • Explain organizational knowledge management
  • Describe useful applications for distributing, creating, sharing knowledge
  • Evaluate role of artificial intelligence in knowledge management

*

knowledge management
Knowledge Management
  • Systematically & actively managing and leveraging stores of knowledge in an organization
  • Repositories for retaining the collective corporate learning
  • Reduce the amount of “relearning” in an organization

*

knowledge management5
Knowledge Management
  • Office automation systems (OAS)
  • Knowledge work systems (KWS)
  • Group collaboration systems (GCS)
  • Artificial intelligence applications (AI)

Datainformationknowledgewisdom

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information and knowledge work systems
Information and Knowledge Work Systems
  • Data workers:people who process & disseminate organization’s paperwork
  • Information work:work consists primarily of creating, processing information
  • Knowledge workers:people who design products or services or create new knowledge for organization

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distribute knowledge
Distribute Knowledge
  • Office automation systems
  • Office information systems
office automation systems
Office Automation Systems
  • Word processing
  • Desktop publishing
  • Imaging & web publishing
  • Electronic calendars
  • Desktop databases

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office automation systems9
Office Automation Systems
  • Document imaging systems:systems convert documents, images into digital form (e.g., optical character recognition; Microfiche)
  • Jukebox:storage & retrieving device for CD-ROMs & other optical disks
  • Index server:imaging system to store / retrieve document

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office information systems
Office Information Systems
  • Managing documents
  • Scheduling
  • Communicating: e-mail; Voice mail; Groupware; Intranets
  • Managing data: desktop databases; Spreadsheets; Mainframe databases

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create knowledge
Create Knowledge
  • Knowledge Work Systems
  • Knowledge Workers

Beware of the hypes

knowledge work systems
Knowledge Work Systems

Information systems that help knowledge workers create, integrate new knowledge in organization

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knowledge workers
Knowledge Workers
  • Keep organization up-to-date in knowledge: technology; Science; Thought; The arts
  • Internal consultants in their areas
  • Change agents: evaluating; Initiating; Promoting change projects

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knowledge workers14
Knowledge Workers
  • CAD:computer aided design automates creation, revision of products, services
  • Virtual reality:interactive software creates simulations of real world activities (virtual reality modeling language: VRML)
  • Investment work stations:special work station to access, manipulate massive amounts of financial data

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share knowledge
Share Knowledge

Group collaboration systems

  • Groupware:allows interactive collaboration, approval of documents
  • Intranets:good for relatively stable information in central repository
  • Lotus notes:popular proprietary software; Flexible changes, updates, editing; More secure than intranets

*

capture codify knowledge artificial intelligence ai systems
Capture & Codify KnowledgeArtificial Intelligence (AI) Systems:
  • Expert systems
  • Neural nets
  • Fuzzy logic
  • Genetic algorithms
  • Intelligent agents

*

slide17

ARTIFICIAL

INTELLIGENCE

NATURAL

PERCEPTIVE

EXPERT

INTELLIGENT

ROBOTICS

LANGUAGE

SYSTEMS

SYSTEMS

MACHINES

AI FAMILY

business interests in ai
Business Interests In AI
  • Preserve expertise
  • Create knowledge base
  • Mechanism not subject to feelings, fatigue, worry, crisis
  • Eliminate routine / unsatisfying jobs
  • Enhance knowledge base

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expert systems
Expert Systems
  • Knowledge-intensive
  • Captures human expertise
  • In limited domains of knowledge
  • Basically a set of in-then-else decision trees

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expert systems20
Expert Systems
  • Knowledge base:Model of Human Knowledge
  • Rule-based expert system :AI system based on IF - THEN statements (Bifurcation); Rule Base: Collection of IF - THEN knowledge
expert systems21
Expert Systems

LIMITATIONS:

  • Often reduced to problems of classification
  • Can be large, lengthy, expensive
  • Maintaining knowledge base critical
  • Many managers unwilling to trust such systems

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other ai techniques
Other AI Techniques
  • Neural networks:Software attempts to emulate brain processes
  • Fuzzy logic:Tolerates ambiguity using nonspecific Membership functions
  • Genetic algorithms:Use models of organisms to promote evolution of solution
  • Hybrid AI systems:Combinations

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dream and reality
Dream and Reality
  • Unsupervised, Self-Adaptive systems that find pattern from chaos
  • Microsoft’s auto-launch of applications according to email contents
  • Still must based on human ingenuity to discover the algorithm first
  • Will never be fool-proof