Knowledge Management and Information System
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The document discusses knowledge management and specialized information systems, outlining their importance in organizations for sharing knowledge and supporting decision-making. It introduces artificial intelligence, expert systems, and multimedia/virtual reality systems that enhance organizational capabilities. Key components like knowledge bases, inference engines, and virtual reality applications are highlighted, illustrating how these technologies can improve efficiency and communication in various industries.
Knowledge Management and Information System
- 1. Chapter 9 Knowledge Management and Specialized Information Systems 7/8/2024 1
- 2. Principles and Learning Objectives • Knowledge management allows organizations to share knowledge and experience among managers and employees – Discuss the differences among data, information, and knowledge – Describe the role of the chief knowledge officer (CKO) – List some of the tools and techniques used in knowledge management 7/8/2024 2
- 3. Principles and Learning Objectives (cont.) • Artificial Intelligence Systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems – Define the term artificial intelligence and state the objective of developing artificial intelligence systems – List the characteristics of intelligent behavior and compare the performance of natural and artificial intelligence systems for each of these characteristics – Identify the major components of the artificial intelligence field and provide one example of each type of system 7/8/2024 3
- 4. Principles and Learning Objectives (cont.) • Expert systems can enable a novice to perform at the level of an expert but must be developed and maintained very carefully – List the characteristics and basic components of expert systems – Outline and briefly explain the steps for developing an expert system – Identify the benefits associated with the use of expert systems 7/8/2024 4
- 5. Principles and Learning Objectives (cont.) • Multimedia and virtual reality systems can reshape the interface between people and information technology by offering new ways to communicate information, visualize processes, and express ideas creatively – Discuss the use of multimedia in a business setting – Define the term virtual reality and provide three examples of virtual reality applications 7/8/2024 5
- 6. Principles and Learning Objectives (cont.) • Specialized systems can help organizations and individuals achieve their goals – Discuss examples of specialized systems for organizational and individual use 7/8/2024 6
- 7. Why Learn About Knowledge Management and Specialized Information Systems? • Knowledge management and specialized information systems are used in almost every industry • Learning about these systems: – Will help you discover new ways to use information systems in your day-to-day work 7/8/2024 7
- 8. Data, Information & Knowledge • Data: consists of raw facts • Information: – Collection of facts organized so that they have additional value beyond the value of the facts themselves • Knowledge: – Awareness and understanding of a set of information and the ways that information can be made useful to support a specific task or reach a decision 7/8/2024 8
- 9. Data, Information & Knowledge (continued) 7/8/2024 9
- 10. Knowledge Management Systems • Knowledge Management System (KMS): – Organized collection of people, procedures, software, databases, and devices – Used to create, store, share, and use the organization’s knowledge and experience 7/8/2024 10
- 11. Overview of KMS • Explicit knowledge: – Objective – Can be measured and documented in reports, papers, and rules • Implicit knowledge: – Hard to measure and document – Typically not objective or formalized 7/8/2024 11
- 12. Data and Knowledge Management Workers and Communities of Practice • Data workers: – Secretaries, administrative assistants, bookkeepers, etc. • Knowledge workers: – Create, use, and disseminate knowledge – Professionals in science, engineering, or business 7/8/2024 12
- 13. Data and Knowledge Management Workers and Communities of Practice (continued) • Chief knowledge officer (CKO): – Top-level executive who helps the organization use a KMS to create, store, and use knowledge to achieve organizational goals • Communities of practice (COP): – Group of people dedicated to a common discipline or practice – May be used to create, store, and share knowledge 7/8/2024 13
- 14. Obtaining, Storing, Sharing, and Using Knowledge • Knowledge workers: – Often work in teams • Knowledge repository: – Includes documents, reports, files, and databases • Knowledge map: – Directory that points the knowledge worker to the needed knowledge 7/8/2024 14
- 15. Obtaining, Storing, Sharing, and Using Knowledge (continued) 7/8/2024 15
- 16. Technology to Support Knowledge Management • Effective KMS: – Is based on learning new knowledge and changing procedures and approaches as a result • Microsoft offers a number of knowledge management tools, including Digital Dashboard 7/8/2024 16
- 17. 7/8/2024 17
- 18. An Overview of Artificial Intelligence • Artificial intelligence (AI): – Computers with the ability to mimic or duplicate the functions of the human brain • Many AI pioneers: – Predicted that computers would be as “smart” as people by the 1960s 7/8/2024 18
- 19. AI in Perspective • Artificial intelligence systems: – Include the people, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that demonstrate characteristics of human intelligence 7/8/2024 19
- 20. Characteristics of intelligent behavior • Turing Test: – Determines whether responses from a computer with intelligent behavior are indistinguishable from those from a human being • Characteristics of intelligent behavior include the ability to: – Learn from experiences and apply knowledge acquired from experience – Handle complex situations – Solve problems when important information is missing 7/8/2024 20
- 21. Characteristics of intelligent behavior(cont.) – Determine what is important – React quickly and correctly to a new situation – Understand visual images – Process and manipulate symbols – Be creative and imaginative – Use heuristics 7/8/2024 21
- 22. The Brain Computer Interface • Brain Computer Interface (BCI): – directly connect the human brain to a computer and have human thought control computer activities • If successful: – The BCI experiment will allow people to control computers and artificial arms and legs through thought alone 7/8/2024 22
- 23. The Major Branches of AI • AI is a broad field that includes: – Robotics – Computer Vision Systems (Image Recognition) – Natural Language Processing (NLP) – Voice recognition – Learning systems and neural networks (machine learning) – Expert systems 7/8/2024 23
- 24. The Major Branches of AI (continued) 7/8/2024 24
- 25. Robotics • Developing mechanical devices that can: – Paint cars, make precision welds, and perform other tasks that require a high degree of precision • Manufacturers use robots to assemble and paint products • Modern robotics: – Combine both high-precision machine capabilities and sophisticated controlling software 7/8/2024 25
- 26. Computer Vision Systems • Hardware and software that permit computers to capture, store, manipulate and identify visual images and pictures • Effective at identifying people based on facial features 7/8/2024 26
- 27. Natural Language Processing • Processing that allows the computer to understand and react to statements and commands made in a “natural” language, such as English 7/8/2024 27
- 28. Speech/Voice Recognition • Speech recognition – Converting sound waves into text words • Voice(Speaker) – Identify people based on their sound feature 7/8/2024 28
- 29. Learning Systems • Combination of software and hardware that: – Allows the computer to change how it functions or reacts to situations based on feedback it receives • Learning systems software: – Requires feedback on results of actions or decisions 7/8/2024 29
- 30. Neural Networks • Computer system that simulates functioning of a human brain in learning • Can process many pieces of data at the same time and learn to recognize patterns • Neural network program: – Helps engineers slow or speed drilling operations to help increase drilling accuracy and reduce costs 7/8/2024 30
- 31. Expert Systems • Expert systems or Knowledge Base System: – Hardware and software that stores knowledge and makes inferences, similar to a human expert 7/8/2024 31
- 32. An Overview of Expert Systems • Computerized expert systems: – Use heuristics, or rules of thumb, to arrive at conclusions or make suggestions • The U.S. Army: – Uses the Knowledge and Information Fusion Exchange (KnIFE) expert system to help soldiers in the field make better military decisions 7/8/2024 32
- 33. When to Use Expert Systems • People and organizations should develop an expert system if it can: – Capture and preserve unique human expertise – Solve a problem that is not easily solved using traditional programming techniques – Develop a system more consistent than human experts 7/8/2024 33
- 34. When to Use Expert Systems (continued) – Provide expertise needed at a number of locations at the same time or in a hostile environment that is dangerous to human health – Provide expertise that is expensive or rare – Develop a solution faster than human experts can – Provide expertise needed for training and development – Provide a high potential payoff or significantly reduce downside risk 7/8/2024 34
- 35. Components of Expert Systems • Expert system: – Consists of a collection of integrated and related components 7/8/2024 35
- 36. Components of Expert Systems (continued) 7/8/2024 36
- 37. The Knowledge Base • Stores all relevant information, data, rules, cases, and relationships used by expert system • Creates knowledge base by: – Using rules – Using cases 7/8/2024 37
- 38. The Inference Engine • Purpose: – To seek information and relationships from the knowledge base – To provide answers, predictions, and suggestions, like a human expert 7/8/2024 38
- 39. The Explanation Facility • Allows a user or decision maker to understand how the expert system arrived at certain conclusions or results • Example: – A doctor can find out the logic or rationale of a diagnosis made by a medical expert system 7/8/2024 39
- 40. The Knowledge Acquisition Facility • Provides convenient and efficient means of capturing and storing all components of knowledge base • Knowledge acquisition software: – Can present users and decision makers with easy- to-use menus 7/8/2024 40
- 41. The Knowledge Acquisition Facility (continued) 7/8/2024 41
- 42. The User Interface • Permits decision makers to develop and use their own expert systems • Main purpose: – To make development and use of an expert system easier for users and decision makers 7/8/2024 42
- 43. Participants in Developing and Using Expert Systems • Domain expert: – Person or group with the expertise or knowledge the expert system is trying to capture • Knowledge engineer: – Person who has training or experience in the design, implementation, and maintenance of an expert system • Knowledge user: – Person or group who uses and benefits from the expert system 7/8/2024 43
- 44. Participants in Developing and Using Expert Systems (continued) 7/8/2024 44
- 45. Expert Systems Development Tools and Techniques • Theoretically, expert systems can be developed from any programming language • Expert system shells and products: – Collections of software packages and tools used to design, implement, maintain and use of expert systems 7/8/2024 45
- 46. Expert Systems Development Tools and Techniques (continued) 7/8/2024 46
- 47. Multimedia and Virtual Reality • Use of multimedia and virtual reality: – Has helped many companies achieve a competitive advantage and increase profits • The approach and technology used in multimedia: – Is often the foundation of virtual reality systems 7/8/2024 47
- 48. Overview of Multimedia • Multimedia is: – Text and graphics – Audio – Video and animation – File conversion and compression • Designing a multimedia application: – Requires careful thought and a systematic approach – Requires that the end use of the document or file be carefully considered 7/8/2024 48
- 49. Overview of Virtual Reality • Virtual reality system: – Enables one or more users to move and react in a computer-simulated environment • Immersive virtual reality: – User becomes fully immersed in an artificial, 3D world that is completely generated by a computer 7/8/2024 49
- 50. Interface Devices • Vision interface – Often the user wears a head-mounted display (HMD) with screens directed at each eye – Mouse-controlled navigation through a 3D environment on a graphics monitor • Audio interface – Stereo projection systems – Stereo viewing from the monitor via stereo glasses • Haptic interface: – Relays sense of touch and other sensations in a virtual world – Most challenging to create 7/8/2024 50
- 51. Virtual Reality Applications • Medicine: – VR program called SnowWorld helps treat injury patients • Education and training: – Virtual technology has also been applied by the military • Business and Commerce: – Boeing used virtual reality to help it design and manufacture airplane parts and new planes • Entertainment: – Movies use CGI to bring realism to the silver screen 7/8/2024 51
- 52. Summary • Knowledge: – Awareness and understanding of a set of information • Knowledge workers: – People who create, use, and disseminate knowledge • Artificial intelligence: – Broad field that includes: • Expert systems, robotics, vision systems • Natural language processing, learning systems, and neural networks 7/8/2024 52
- 53. Summary (continued) • Expert system consists of a collection of integrated and related components • Inference engine: – Processes the rules, data, and relationships stored in the knowledge base • Virtual reality system: – Enables one or more users to move and react in a computer-simulated environment 7/8/2024 53