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Which of the following is a method for knowledge acquisition in organizations?
Which of the following is a method for knowledge acquisition in organizations?
Data Pattern Discovery involves the use of machine learning techniques.
Data Pattern Discovery involves the use of machine learning techniques.
True
What is the primary purpose of Document Management Systems?
What is the primary purpose of Document Management Systems?
To digitize, index, and tag documents.
Leadership must endorse the creation of structured knowledge ______ systems.
Leadership must endorse the creation of structured knowledge ______ systems.
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Match the following knowledge dissemination tools with their functions:
Match the following knowledge dissemination tools with their functions:
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Which of the following is an effect of information overload?
Which of the following is an effect of information overload?
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Employee incentives are unnecessary for effective knowledge storage.
Employee incentives are unnecessary for effective knowledge storage.
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What role do informal networks play in organizations?
What role do informal networks play in organizations?
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Which of the following is an example of intelligent agents?
Which of the following is an example of intelligent agents?
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Surgical robots only perform surgical procedures manually and cannot adjust themselves.
Surgical robots only perform surgical procedures manually and cannot adjust themselves.
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What percentage of an organization’s business content is semistructured or unstructured?
What percentage of an organization’s business content is semistructured or unstructured?
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An Enterprise Content Management System helps to capture, store, retrieve, and distribute __________ and semi-structured knowledge.
An Enterprise Content Management System helps to capture, store, retrieve, and distribute __________ and semi-structured knowledge.
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Match the following types of documents to their descriptions:
Match the following types of documents to their descriptions:
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Which of the following functions do Learning Management Systems (LMS) provide?
Which of the following functions do Learning Management Systems (LMS) provide?
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Agent-based modeling applications can predict trends but cannot be applied to consumer behavior.
Agent-based modeling applications can predict trends but cannot be applied to consumer behavior.
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What is the key problem faced when developing an Enterprise Content Management System?
What is the key problem faced when developing an Enterprise Content Management System?
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Which of the following is a characteristic of knowledge workers?
Which of the following is a characteristic of knowledge workers?
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Massively Open Online Courses (MOOCs) are restricted to a small number of participants.
Massively Open Online Courses (MOOCs) are restricted to a small number of participants.
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What type of systems are used to help knowledge workers create and integrate new knowledge?
What type of systems are used to help knowledge workers create and integrate new knowledge?
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CAD stands for ______ - a system used for creating engineering or architectural designs.
CAD stands for ______ - a system used for creating engineering or architectural designs.
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Match the following types of knowledge work systems with their descriptions:
Match the following types of knowledge work systems with their descriptions:
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Which of the following is NOT a type of intelligent technique used in knowledge management systems?
Which of the following is NOT a type of intelligent technique used in knowledge management systems?
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Artificial intelligence aims to create systems that can perform tasks as intelligently as humans.
Artificial intelligence aims to create systems that can perform tasks as intelligently as humans.
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What is the primary focus of machine learning?
What is the primary focus of machine learning?
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An expert system captures tacit knowledge in a very specific and limited domain of human __________.
An expert system captures tacit knowledge in a very specific and limited domain of human __________.
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Match the following AI techniques with their descriptions:
Match the following AI techniques with their descriptions:
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What is an inference engine used for in an expert system?
What is an inference engine used for in an expert system?
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Machine learning systems are programmed to follow explicit rules provided by programmers.
Machine learning systems are programmed to follow explicit rules provided by programmers.
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List one application of an expert system.
List one application of an expert system.
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What is the key benefit of shared knowledge within an organization?
What is the key benefit of shared knowledge within an organization?
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Return on investment from knowledge is realized only when knowledge is aligned with decision support systems.
Return on investment from knowledge is realized only when knowledge is aligned with decision support systems.
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What role does management play in knowledge application?
What role does management play in knowledge application?
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Knowledge must be embedded within a firm's _____ processes to be effective.
Knowledge must be embedded within a firm's _____ processes to be effective.
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Which of the following is an example of an enterprise-wide knowledge management system?
Which of the following is an example of an enterprise-wide knowledge management system?
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Continuous improvement within knowledge application only benefits the management level.
Continuous improvement within knowledge application only benefits the management level.
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Match the types of knowledge management systems with their descriptions.
Match the types of knowledge management systems with their descriptions.
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The development of powerful networked workstations has led to the creation of _____ work systems.
The development of powerful networked workstations has led to the creation of _____ work systems.
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What is a significant benefit of well-executed knowledge-based projects?
What is a significant benefit of well-executed knowledge-based projects?
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Tacit knowledge refers to knowledge that is easily documented and shared.
Tacit knowledge refers to knowledge that is easily documented and shared.
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What are the four stages of the Knowledge Management Value Chain?
What are the four stages of the Knowledge Management Value Chain?
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Knowledge management is a set of business processes developed to create, store, transfer, and apply ______.
Knowledge management is a set of business processes developed to create, store, transfer, and apply ______.
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Match the following types of knowledge with their characteristics:
Match the following types of knowledge with their characteristics:
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Which of the following is NOT a form of knowledge mentioned?
Which of the following is NOT a form of knowledge mentioned?
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Knowledge-based core competencies can be duplicated by competitors.
Knowledge-based core competencies can be duplicated by competitors.
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What is one example of a knowledge acquisition method mentioned?
What is one example of a knowledge acquisition method mentioned?
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A major source of wealth in the information economy is the production and distribution of ______.
A major source of wealth in the information economy is the production and distribution of ______.
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What type of data has knowledge management efforts included beyond traditional documents?
What type of data has knowledge management efforts included beyond traditional documents?
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Study Notes
Lecture 8: BHMS4472 ICT in Business - Managing Knowledge and Artificial Intelligence
- The lecture covers managing knowledge and artificial intelligence (AI) within the context of Information, Communication, and Technology (ICT) in business.
- Learning objectives include: the role of knowledge management systems in business; the knowledge management value chain; understanding AI and machine learning, and how businesses use them; various systems for enterprise-wide knowledge management and their value; and different types of knowledge work systems and their value to businesses.
What is the Role of Knowledge Management Systems in Business?
- Knowledge management systems are a rapidly growing area of investment in software.
- A significant part of a company's market value comes from intangible assets like: knowledge, brand reputation, and unique business processes.
- Well-structured knowledge management projects can generate significant returns on investment (ROI).
- The information economy depends heavily on the production and distribution of information and knowledge.
Important Dimensions of Knowledge
- Knowledge encompasses data, information, and wisdom.
- It is a valuable asset to a company.
- Knowledge exists in various forms (tacit, explicit), and can be situational/context dependant.
- Knowledge-based core competencies are key organizational assets.
- Having specialized knowledge that is difficult to replicate provides a strong competitive advantage.
- Organizational learning is a continual process of collecting data, measuring results, adapting from errors and using feedback to improve processes.
The Knowledge Management Value Chain
- This is a series of business processes that create, store, transfer, and apply knowledge within the organisation.
- It increases the organisation's ability to learn and adapt from its environment.
- The value chain includes specific stages: knowledge acquisition, storage, dissemination, and application. Each process transforms data and information into usable knowledge.
- Knowledge acquisition methods vary depending on the type of knowledge needed, from using initial knowledge management systems, to capturing unstructured data. Online expert networks could be used to allow employees to connect with in-house experts.
- Knowledge storage involves storing discovered knowledge in databases; document management systems; and expert systems. Organisations need support from leadership to enforce structured systems and provide incentives to encourage knowledge sharing.
- Knowledge dissemination focuses on facilitating knowledge sharing using tools like collaboration platforms. Organisations may experience information overload, so training programs are necessary to help people make sense of data. Informal networks also support knowledge sharing.
- Knowledge application takes the disseminated knowledge and integrates it into business processes and key applications including those for internal operations and customer/supplier relationships. Leadership plays a vital role in using new knowledge to build business strategies and operations through continuous improvement.
What is Artificial Intelligence (AI)?
- AI is a form of intelligence that allows computer hardware and software systems to exhibit “smart” behavior similar to humans.
- The goal of a broader vision of AI is to create systems that act as intelligently as humans.
- The narrower, more realistic vision designs systems that process data and produce outputs from it (like any software program, but with the possibility of completing complex tasks difficult or impossible for humans.)
Major Types of AI
- Expert Systems: Systems that capture tacit knowledge within a specific, limited field as a set of rules to support decision making in predictable settings.
- Machine Learning (ML): Learns from data to identify patterns, make decisions, and conduct tasks without explicit instructions. This includes supervised and unsupervised learning.
- Neural Networks (and deep learning networks): Find patterns and relationships in massive data sets that are difficult for humans to analyze. Data is fed into the network to ‘train’ it and teach it to solve problems or identify patterns in data. The more complex the neural network, the more layers it has, the more complex the patterns it can identify and solve.
- Genetic Algorithms: Find solutions to specific problems, examine many possibilities and solutions, and improve them over time. They emulate the process of evolution. Data is used to evaluate solutions and select the best outcomes.
- Natural Language Processing (NLP): This type of software processes voice or text using natural human language.
- Computer Vision Systems: Emulates the human eye to process information from real-world images.
- Robotics: These machines can substitute tasks that would normally fall to humans, using pre-programmed actions in limited settings.
- Intelligent Agents: Support repetitive tasks without human intervention; can be used to implement limited knowledge bases, adjusting responses as needed, like chatbots.
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Description
This quiz explores the intersection of knowledge management and artificial intelligence within the context of ICT in business. Participants will learn about the role of knowledge management systems, the knowledge management value chain, and how AI and machine learning can be leveraged for business advantage.