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INS3705 Assignment 2 (COMPLETE ANSWERS) Semester 2 2024 Course Information and Knowledge Management (INS3705) Institution University Of South Africa (Unisa) Book Information and Knowledge Management Revised Edition$2.57
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INS3705 Assignment 2 (COMPLETE ANSWERS) Semester 2 2024 Course Information and Knowledge Management (INS3705) Institution University Of South Africa (Unisa) Book Information and Knowledge Management Revised Edition
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Grado
Information and Knowledge Management
Institución
University Of South Africa
Book
Information and Knowledge Management Revised Edition
INS3705 Assignment 2 (COMPLETE ANSWERS) Semester 2 2024
Course
Information and Knowledge Management (INS3705)
Institution
University Of South Africa (Unisa)
Book
Information and Knowledge Management Revised Edition
INS3707 Assignment 1 (COMPLETE ANSWERS) Semester 2 2024 - DUE August 2024 ; 100% TRUSTED solutions
INS3705 Assignment 2 (COMPLETE ANSWERS) Semester 2 2024 - DUE August 2024 ;
INS3705 Assignment 2 (COMPLETE ANSWERS) Semester 2 2024 - DUE August 2024 ; 100% TRUSTED, trusted solutions
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Information and Knowledge Management
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INS3705 Assignment
2 (COMPLETE
ANSWERS) Semester
2 2024 - DUE August
2024 ; 100% TRUSTED
Complete, trusted
solutions and
explanations.
,QUESTION 1 Identify four knowledge management processes in
any organisation of your choice and discuss the purpose of each
knowledge management process and two examples of artificial
intelligent technologies that can be used in each of the knowledge
management processes (mini essay). [10) QUESTION 2 A senior
employee with valuable tacit knowledge is retiring in your
organisation. Define tacit knowledge and suggest five methods or
tools that you would use to enhance knowledge retention and
prevent knowledge loss (mini essay). [10]
Sure, let's break down each question and provide a structured
response.
Question 1: Knowledge Management Processes and AI
Technologies
Knowledge management (KM) processes are crucial for
organizations to effectively manage and utilize their knowledge
resources. Here are four key KM processes, along with their
purposes and examples of AI technologies that can support them:
1. Knowledge Creation:
o Purpose: To generate new knowledge through innovation
and collaboration.
o AI Technologies:
▪ Machine Learning Algorithms: Used to analyze
data and discover patterns, helping in generating
insights and new knowledge.
▪ Natural Language Processing (NLP): Facilitates
text mining and sentiment analysis to extract
, valuable information from unstructured data
sources.
2. Knowledge Capture:
o Purpose: To capture and document knowledge from
individuals and sources within the organization.
o AI Technologies:
▪ Chatbots: Assist in capturing knowledge by
interacting with employees to record responses to
common queries and issues.
▪ Speech Recognition: Converts spoken information
into text, enabling easy documentation of verbal
knowledge.
3. Knowledge Sharing:
o Purpose: To facilitate the dissemination of knowledge
across the organization, promoting collaboration and
learning.
o AI Technologies:
▪ Collaborative Filtering Algorithms: Recommend
relevant knowledge and expertise based on user
preferences and behavior.
▪ Virtual Reality (VR) and Augmented Reality
(AR): Enhance remote collaboration by simulating
physical presence and providing immersive learning
experiences.
4. Knowledge Storage and Retrieval:
o Purpose: To organize and store knowledge in a
structured manner for easy access and retrieval.
o AI Technologies:
▪ Knowledge Graphs: Organize information into a
semantic network, facilitating intuitive search and
retrieval.
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