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:computer: L & L Infosys CH 11: Managing Knowledge - Coggle Diagram
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L & L Infosys CH 11: Managing Knowledge
What is the role of knowledge management systems in business?
• Define knowledge management and explain its value to businesses.
What is the hierarchy of data, knowledge and wisdom?
What is data?
What is knowledge?
Tacit knowledge vs explicit knowledge
What is wisdom?
What are the four dimensions of knowledge?
is a firm asset
has different forms
has a location
is situational
What is organizational learning and knowledge management
• Describe the stages in the knowledge management value chain.
Building Organizational and Management Capital
Collaboration, Communities of Practice, and Office Environments
Knowledge Acquisition
Knowledge Storage
Knowledge Dissemination
Knowledge Application
What are the types of KMS?
Enterprise-wide knowledge management systems
Knowledge work systems (KWS)
Different types of KWS:
Computer-aided design (CAD)
Virtual Reality (VR)
Augmented reality (AR)
Intelligent techniques
What types of systems are used for enterprise-wide knowledge management, and how do they provide value for businesses?
• Define and describe the various types of enterprise-wide knowledge management systems and explain how they provide value for businesses.
Enterprise content management (ECM)
Learning Management Systems (LMS)
• Describe the role of the following in facilitating knowledge management: taxonomies, MOOCs, and learning management systems.
What are the major types of knowledge work systems, and how do they provide value for firms?
Define knowledge work systems and describe the generic requirements of knowledge work systems.
How do knowledge workers and knowledge work provide value for firms?
What are some requirements of Knowledge Work Systems?
• Describe how the following systems support knowledge work: CAD, virtual reality, augmented reality and VRML.
What are the business benefits of using intelligent techniques for knowledge management?
Define Machine learning and explain its role in knowledge management.
What is neural networks?
Explain pattern detection programs.
What are 'deep learning' neural networks?
What is genetic algorithms?
What is supervised learning?
What is unsupervised learning?
• Define an expert system, describe how it works, and explain its value to business.
What is knowledge discovery?
What is the knowledge base?
What is the inference engine?
What is backward chaining?
• Define case-based reasoning and explain how it differs from an expert system.
• Define fuzzy logic and describe the types of decisions fuzzy logic systems make .
• Define and describe intelligent agents and give an example of a type of intelligent agent.
How do chatbots act as intelligent agents?
Agent-based modelling: what is it and how it works?
Define and explain important elements in AI.
Hybrid AI: what are they?
What is Natural Language Processing? (NLP)
What are computer vision systems?
What are robotics and how do they help with businesses?