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 ; 100% TRUSTED, trusted solutions
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 R...
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Assignment 2
DUE August
2024
[Year]
,INS3705 Assignment 2 (COMPLETE ANSWERS) Semester 2 2024 - DUE
August 2024 ; 100% TRUSTED, trusted solutions
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)
The following is a mini-essay related to knowledge management processes in
an organization, detailing the purpose of each process and giving examples of
AI technologies that can be used in each.
---
## Knowledge Management Processes in Google
### Introduction
Within modern organizational settings, organizations seeking to be
incorporative as well as competitive and innovative have accomplished
effective KM processes. Google, the powerhouse for technology and internet
services, relies on several KM processes in capturing, managing, and using
knowledge. This mini-essay identifies four key KM processes at Google,
discusses their purposes, and provides an example of using artificial
intelligence technologies to enhance the process.
,### 1. Knowledge Creation
**Purpose:** Knowledge creation involves the process of creating new
insights, ideas, and innovations. It would drive an organization through new
insights and learning. At Google, it would foster innovation in research and
development efforts wherein new technologies and solutions are innovated.
**AI Technologies:**
1. **Google AI Research:** Algorithms of machine learning are also
implemented by Google's own AI research team to develop new technologies.
For example, Google Brain covers deep learning techniques to improve the
artificial neural network. These in turn contribute towards new features and
improvements across products.
2. **Natural Language Processing (NLP) Tools:** Advanced NLP tools are
used by Google to parse massive textual data for research purposes. For
example, BERT, their Bidirectional Encoder Representations from
Transformers, aids the company in understanding and generating human
language; this AI technology has the potential to bring new product ideas and
innovations into the market.
Purpose: Sharing knowledge to spread valuable information and insight
without giving firsthand experience, hence allowing the employees to learn
from each other and use their collective knowledge.
AI Technologies:
1. **Google Workspace--Formerly G Suite:** Google Workspace has ways of
collaborative tools like Google Docs and Google Drive, which hold knowledge
sharing through cloud document management with live collaboration. The AI
features in these tools include smart compose and grammar suggestions to
help in better document sharing and creation.
, 2. **Google Meet:** AI-Infused capabilities of Google Meet (such as auto-
captioning and real-time translation) make possible the sharing of knowledge
among staff across several languages and geographic locations for effective
communication and knowledge transfer.
### 3. Knowledge Storage
**Purpose:** Information and resources are stored so that they will be
available for drawing upon and retrieval at some future time. This process is
important for preserving useful knowledge over time.
**AI Technologies:**
1. **Google Cloud Storage:** Artificial intelligence in Google Cloud Storage is
put into use for managing and organizing data. It provides facilities with the
capacity for-scale storages, automated data backup, archival, and advanced
search capabilities. AI algorithms thus help classify and index data efficiently
so that it gets properly stored and retrieved accordingly.
2. **Knowledge Graph (Google Knowledge Graph)**:Knowledge Graph is an
AI-powered database that stores structured data on entities and relationships.
This technical tool supports quick information retrieval and augments search
across all Google Products — Singhal, 2012.
### 4. Knowledge Application
**Purpose:** The application of knowledge entails the use of stored
knowledge to resolve issues, form decisions and enhance procedures. At
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