ITM100 CHAPTER 11 QUIZ
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Questions and Answers

What is one of the ways organizations acquire knowledge?

  • Building corporate repositories of documents and best practices (correct)
  • Hiring external consultants
  • Investing in physical infrastructure
  • Implementing financial management systems

What is required to maximize the return on investment in knowledge management projects?

  • Supportive values, structures, and behavior patterns (correct)
  • Outsourcing knowledge management projects
  • Expanding the IT department
  • Cutting down on organizational activities

What type of knowledge acquisition involves discovering patterns in corporate data via machine learning?

  • Acquiring knowledge by discovering patterns in corporate data via machine learning (correct)
  • Acquiring knowledge by attending conferences
  • Acquiring knowledge through traditional research methods
  • Acquiring knowledge by developing online expert networks

What is one of the ways organizations extend their knowledge management efforts?

<p>Including unstructured documents such as email in corporate repositories (A)</p> Signup and view all the answers

What do AI models provide to aid in surgical decision-making?

<p>Total tumor volume and 3D representations of tumors (D)</p> Signup and view all the answers

In which areas are robotics widely used?

<p>Bomb detection, manufacturing, and medical procedures (C)</p> Signup and view all the answers

What do intelligent agents do?

<p>Carry out specific tasks without direct human intervention (A)</p> Signup and view all the answers

What do enterprise content management systems facilitate?

<p>Tagging and classifying knowledge objects for easy retrieval (A)</p> Signup and view all the answers

What do digital asset management systems help classify, store, and distribute?

<p>Digital objects, such as brand images (C)</p> Signup and view all the answers

What do contemporary enterprise content management systems have capabilities for?

<p>Locating experts within a firm and tapping into their knowledge (C)</p> Signup and view all the answers

What do social networking and social business tools enable users to do?

<p>Bookmark web pages, tag them with keywords, and share them with others (A)</p> Signup and view all the answers

What do learning management systems provide tools for?

<p>The management, delivery, tracking, and assessment of various types of employee learning and training (B)</p> Signup and view all the answers

What are MOOCs?

<p>Massive open online courses (D)</p> Signup and view all the answers

What is the driving force behind the rapid evolution of AI?

<p>Development of Big Data databases (C)</p> Signup and view all the answers

What has been a significant achievement in AI progress mentioned in the text?

<p>Image recognition error rates dropping to less than 3% (D)</p> Signup and view all the answers

Which type of AI involves systems processing the development database and reporting patterns found?

<p>Unsupervised learning (A)</p> Signup and view all the answers

What is a neural network composed of, according to the text?

<p>Interconnected units called neurons (A)</p> Signup and view all the answers

What did researchers achieve with a neural network system of 1,000 machines and 16,000 core processors?

<p>16% accuracy rate in recognizing faces and objects (C)</p> Signup and view all the answers

What does the text suggest about the current capabilities of machine learning systems compared to a one-year-old human baby?

<p>Far from the efficiency of a one-year-old human baby (C)</p> Signup and view all the answers

How many neurons does the human brain have, according to the text?

<p>86 billion neurons (C)</p> Signup and view all the answers

In which situations is machine learning applicable, as per the text?

<p>Limited situations with large databases (B)</p> Signup and view all the answers

What is the primary capability of neural networks, according to the text?

<p>Data transfer within the system (D)</p> Signup and view all the answers

What has contributed to the transformation of various industries and job roles, as mentioned in the text?

<p>AI systems performing tasks impossible for humans (A)</p> Signup and view all the answers

What has driven the evolution of AI, according to the text?

<p>Cost reduction in computer processing (D)</p> Signup and view all the answers

What has contributed to the refinement of algorithms in AI, as per the text?

<p>Research centers (D)</p> Signup and view all the answers

What does business analytics use to track sales, inventory, and other vital areas?

<p>Data from transaction processing systems and external sources (C)</p> Signup and view all the answers

What are artificial neurons?

<p>Software programs and mathematical models that mimic the input and output functions of biological neurons in the human brain (C)</p> Signup and view all the answers

What is the purpose of the Learning Rule in artificial neurons?

<p>To control the strength of connections among artificial neurons to produce desired outputs (C)</p> Signup and view all the answers

What is the primary function of knowledge storage in organizations?

<p>Creating databases and document management systems to store documents, patterns, and expert rules (C)</p> Signup and view all the answers

What is the primary function of neural networks?

<p>To find patterns and relationships in large datasets that are too complex for human analysis (A)</p> Signup and view all the answers

How can management support the development of knowledge storage systems?

<p>Encourage employees to update and store documents properly (C)</p> Signup and view all the answers

What are genetic algorithms primarily used for?

<p>Solving dynamic and complex problems with hundreds or thousands of variables (C)</p> Signup and view all the answers

What methods are used for knowledge dissemination in organizations?

<p>Portals, email, instant messaging, and other collaboration tools (B)</p> Signup and view all the answers

What is the main application of Natural Language Processing (NLP)?

<p>Enabling computers to understand and analyze human language, even with its ambiguity and complexity (C)</p> Signup and view all the answers

What helps employees focus on important information and knowledge in organizations?

<p>Training programs, informal networks, and supportive culture (A)</p> Signup and view all the answers

What do Computer Vision Systems emulate?

<p>The human visual system and extract information from real-world images (C)</p> Signup and view all the answers

What must organizational knowledge become to add business value?

<p>A systematic part of management decision making (B)</p> Signup and view all the answers

What is the level of accuracy of Facebook's DeepFace in recognizing faces?

<p>Nearly as accurate as the human brain (B)</p> Signup and view all the answers

What does management support regarding the incorporation of new knowledge into business processes?

<p>Incorporation of new knowledge into business processes and key application systems (A)</p> Signup and view all the answers

How is computer vision technology used at Amsterdam University Medical Center (AUMC) to increase the speed and accuracy of chemotherapy response assessments?

<p>By using SAS Visual Data Mining and Machine Learning tools (A)</p> Signup and view all the answers

What can managers develop to acquire knowledge in organizations?

<p>New organizational roles, chief knowledge officer executive positions, and communities of practice (B)</p> Signup and view all the answers

What is the primary function of AUMC's computer vision technology for automatic segmentation?

<p>Helping doctors quickly identify changes in the shape and size of tumors and note their color (A)</p> Signup and view all the answers

What are communities of practice in organizations?

<p>Informal social networks of professionals who share work-related activities and interests (A)</p> Signup and view all the answers

In addition to health care, where else are computer vision systems used?

<p>Autonomous vehicles, industrial machine vision systems, military applications, and robotic tools (B)</p> Signup and view all the answers

How many major types of knowledge management systems are mentioned in the text?

<p>Three: enterprise-wide, knowledge work, and 'intelligent' techniques (A)</p> Signup and view all the answers

What are the important AI techniques used in various applications, including speech recognition technology in contact centers and autonomous vehicles?

<p>Robotics, natural language processing, and computer vision systems (D)</p> Signup and view all the answers

What do enterprise-wide knowledge management systems do?

<p>Collect, store, distribute, and apply digital content and knowledge (C)</p> Signup and view all the answers

What is the primary function of knowledge work systems?

<p>Assist engineers and scientists in the discovery of new knowledge and cover a broader range of activities (A)</p> Signup and view all the answers

Flashcards

Knowledge acquisition

Building corporate repositories of documents and best practices is one way to acquire knowledge for organizations.

Maximizing ROI in KM

Supportive values, structures, and behavior patterns are essential to maximize the return on investment in knowledge management projects.

Data-driven knowledge acquisition

Discovering patterns in corporate data via machine learning is a type of knowledge acquisition.

Extending KM efforts

Organizations expand their knowledge management efforts by including unstructured documents like emails in corporate repositories.

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AI in surgery

AI models provide insights like total tumor volume and 3D representations of tumors to support surgical decision-making.

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Robotics applications

Robotics are widely used in diverse fields like bomb detection, manufacturing, and medical procedures.

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Intelligent agents

Intelligent agents are designed to perform specific tasks without direct human intervention.

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ECM system function

Enterprise content management systems help tag and classify knowledge objects for easy retrieval.

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Digital Asset Management

Digital asset management systems facilitate the classification, storage, and distribution of digital objects like brand images.

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Expert knowledge access

Contemporary enterprise content management systems have capabilities for locating experts within a firm and tapping into their knowledge.

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Social collaboration tools

Social networking and social business tools enable users to bookmark web pages, tag them with keywords, and share them with others.

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Learning management systems

Learning management systems provide tools for managing, delivering, tracking, and assessing various types of employee learning and training.

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MOOCs

MOOCs are Massive Open Online Courses that provide accessible learning opportunities to a large audience.

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AI evolution

The development of Big Data databases is the driving force behind the rapid evolution of AI.

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AI image recognition

A significant achievement in AI progress has been the reduction of image recognition error rates to less than 3%.

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Unsupervised learning

Unsupervised learning involves systems processing a development database and reporting patterns found.

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Neural network structure

A neural network is composed of interconnected units called neurons.

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Neural network performance

Researchers achieved a 16% accuracy rate in recognizing faces and objects using a neural network system of 1,000 machines and 16,000 core processors.

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AI compared to humans

Current machine learning systems are far from the efficiency of a one-year-old human baby.

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Human brain neurons

The human brain has approximately 86 billion neurons.

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Machine learning limitations

Machine learning is applicable in limited situations with large databases.

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Neural network function

Data transfer within the system is the primary capability of neural networks.

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AI impact on jobs

AI systems performing tasks impossible for humans have transformed various industries and job roles.

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AI advancement driver

Cost reduction in computer processing has driven the evolution of AI.

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Algorithm development

Research centers have contributed to the refinement of algorithms in AI.

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Business analytics data

Business analytics uses data from transaction processing systems and external sources to track sales, inventory, and other vital areas.

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Artificial neurons

Artificial neurons are software programs and mathematical models that mimic the input and output functions of biological neurons in the human brain.

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Learning Rule in neural networks

The Learning Rule in artificial neurons controls the strength of connections among artificial neurons to produce desired outputs.

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Knowledge storage

The primary function of knowledge storage in organizations is to create databases and document management systems to store documents, patterns, and expert rules.

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Neural network purpose

The primary function of neural networks is to find patterns and relationships in large datasets that are too complex for human analysis.

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Management support for KM

Management can support the development of knowledge storage systems by encouraging employees to update and store documents properly.

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Genetic algorithms

Genetic algorithms are primarily used for solving dynamic and complex problems with hundreds or thousands of variables.

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Knowledge dissemination

Knowledge dissemination methods in organizations include portals, email, instant messaging, and other collaboration tools.

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Natural Language Processing

Natural Language Processing (NLP) enables computers to understand and analyze human language, even with its ambiguity and complexity.

Signup and view all the flashcards

Knowledge focus

Training programs, informal networks, and a supportive culture help employees focus on important information and knowledge in organizations.

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Computer Vision

Computer Vision Systems emulate the human visual system and extract information from real-world images.

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Knowledge for decision making

Organizational knowledge must become a systematic part of management decision making to add business value.

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DeepFace accuracy

Facebook's DeepFace can recognize faces with nearly the same accuracy as the human brain.

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Integrating knowledge into systems

Management supports the incorporation of new knowledge into business processes and key application systems.

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AI in healthcare

Amsterdam University Medical Center (AUMC) uses computer vision technology to increase the speed and accuracy of chemotherapy response assessments.

Signup and view all the flashcards

Knowledge management roles

Managers can develop new organizational roles, chief knowledge officer executive positions, and communities of practice to acquire knowledge in organizations.

Signup and view all the flashcards

Computer vision in cancer diagnosis

AUMC's computer vision technology for automatic segmentation helps doctors quickly identify changes in the shape and size of tumors and note their color.

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Communities of practice

Communities of practice are informal social networks of professionals who share work-related activities and interests.

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Computer vision applications

Computer vision systems are used in autonomous vehicles, industrial machine vision systems, military applications, and robotic tools, besides healthcare.

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Types of KM systems

There are three major types of knowledge management systems: enterprise-wide, knowledge work, and 'intelligent' techniques.

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AI techniques

Robotics, natural language processing, and computer vision systems are important AI techniques used in various applications, including speech recognition technology in contact centers and autonomous vehicles.

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Enterprise-wide KM

Enterprise-wide knowledge management systems collect, store, distribute, and apply digital content and knowledge.

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Knowledge work systems

Knowledge work systems assist engineers and scientists in discovering new knowledge and cover a broader range of activities.

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Study Notes

Managing Knowledge in Organizations

  • Business analytics use data from transaction processing systems and external sources to track sales, inventory, and other vital areas.
  • Knowledge storage involves creating databases and document management systems to store documents, patterns, and expert rules.
  • Management needs to support the development of knowledge storage systems and encourage employees to update and store documents properly.
  • Knowledge dissemination uses portals, email, instant messaging, and other collaboration tools for sharing information and knowledge.
  • Training programs, informal networks, and supportive culture help employees focus on important information and knowledge.
  • Organizational knowledge must become a systematic part of management decision making to add business value.
  • Management supports the incorporation of new knowledge into business processes and key application systems.
  • Managers can develop new organizational roles, chief knowledge officer executive positions, and communities of practice to acquire knowledge.
  • Communities of practice are informal social networks of professionals who share work-related activities and interests.
  • There are three major types of knowledge management systems: enterprise-wide, knowledge work, and "intelligent" techniques.
  • Enterprise-wide knowledge management systems collect, store, distribute, and apply digital content and knowledge.
  • Knowledge work systems assist engineers and scientists in the discovery of new knowledge and cover a broader range of activities.

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Description

Test your understanding of knowledge management in organizations, including business analytics, knowledge storage, dissemination, and incorporation into business processes. Explore the types of knowledge management systems and the role of management in supporting knowledge development and sharing.

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