1 / 23

12. MANAGING KNOWLEDGE

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.

jerod
Télécharger la présentation

12. MANAGING KNOWLEDGE

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 12. MANAGING KNOWLEDGE

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

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

  4. 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 *

  5. Knowledge Management • Office automation systems (OAS) • Knowledge work systems (KWS) • Group collaboration systems (GCS) • Artificial intelligence applications (AI) Datainformationknowledgewisdom *

  6. 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 *

  7. Distribute Knowledge • Office automation systems • Office information systems

  8. Office Automation Systems • Word processing • Desktop publishing • Imaging & web publishing • Electronic calendars • Desktop databases *

  9. 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 *

  10. Office Information Systems • Managing documents • Scheduling • Communicating: e-mail; Voice mail; Groupware; Intranets • Managing data: desktop databases; Spreadsheets; Mainframe databases *

  11. Create Knowledge • Knowledge Work Systems • Knowledge Workers Beware of the hypes

  12. Knowledge Work Systems Information systems that help knowledge workers create, integrate new knowledge in organization *

  13. 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 *

  14. 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 *

  15. 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 *

  16. Capture & Codify KnowledgeArtificial Intelligence (AI) Systems: • Expert systems • Neural nets • Fuzzy logic • Genetic algorithms • Intelligent agents *

  17. ARTIFICIAL INTELLIGENCE NATURAL PERCEPTIVE EXPERT INTELLIGENT ROBOTICS LANGUAGE SYSTEMS SYSTEMS MACHINES AI FAMILY

  18. Business Interests In AI • Preserve expertise • Create knowledge base • Mechanism not subject to feelings, fatigue, worry, crisis • Eliminate routine / unsatisfying jobs • Enhance knowledge base *

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

  20. 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

  21. 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 *

  22. 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 *

  23. 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

More Related