Professional Skills for Information and Communication Report 2022

Running head: PROFESSIONAL IT SKILLS AND COMMUNICATION
Professional Skills for Information and Communication
Name of the Student
Name of the University
Author’s Note:

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PROFESSIONAL IT SKILLS AND COMMUNICATION
Executive Summary
The objective of the report is for understanding about the case study of JD organization. For
the purpose of improving their business efficiency and effectiveness, the Chief Technology
Officer of this organization has decided to implement machine learning application in their
business. Machine learning majorly emphasizes on the computerized programs, which could
easily and promptly access the confidential data and then utilize it for learning purposes. The
major procedures that are included in this ML are absolutely similar to the predictive
modelling as well as data mining. These two technologies need searching through
confidential data for looking for patterns and even adjusting various program actions. The
algorithms of machine learning are eventually categorized as unsupervised and supervised
and both of these categories are responsible for analysing and utilizing for development of
predictions. The respective algorithms is then applied to the new data. This report has
provided detailed analysis on the several merits and demerits of ML and the aspects that
should be considered by JD are also provided in the report. Moreover, 3 applicable
suggestions are provided in the report for JD.

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PROFESSIONAL IT SKILLS AND COMMUNICATION
Table of Contents
1. Introduction............................................................................................................................3
2. Discussion..............................................................................................................................3
2.1 Brief Knowledge of the Case Scenario for JD organization............................................3
2.2 Defining Machine Learning and Differences and Relation between AI and Machine
Learning.................................................................................................................................4
2.3 Application of Machine Learning in 3 Different Industries of Healthcare Industry,
Automotive Industry and Financial Services Industry...........................................................4
2.4 Investigation of Process of Machine Learning getting adopted in JD with its application
in 2 Different Business Functional Areas of Updating Resume in HR and Improving
Business Efficiency and Advantages and Disadvantages of the Application........................5
2.5 Discussion of 2 Issues for each Ethical, Legal and Social Aspects about ML
Application on Online Retail Platforms for JD......................................................................7
3. Conclusion..............................................................................................................................8
4. Three Recommendations for adopting Machine Learning in JD...........................................9
References................................................................................................................................10
Appendix..................................................................................................................................13

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PROFESSIONAL IT SKILLS AND COMMUNICATION
1. Introduction
Machine learning (ML) is a distinctive AI application, which is responsible for
providing the systems with the core ability of automatically learning as well as improvising
from experiences without even being explicitly programmed (Quinlan, 2014). It is a basic
technique of learning initiates with the data observation, such as instruction and direct
experiences for checking for trends in the datum and then making effective decisions and
judgments in future on the basis of those experiences in the business. It is considered as the
one of the most significant and important applications, which can be easily and promptly
applied in any business for reducing complexities related to decision making technique
(Witten, Frank, Hall & Pal, 2016).
Few of the most distinctive programming languages that are considered to be the best
for machine learning mainly include Python, R, Java, Prolog and Lisp. These programming
languages help to reduce the complexities related to artificial intelligence and even for
building computer systems (Abadi et al., 2016). This report would be providing a detailed
description of the case study of an organization, called JD. It is an Australian online retailer
that sells larger range of items in the entire world. They have realized that the application of
machine learning would be extremely effective for them for increasing the overall business
efficiency and gaining competitive edges. This report will be describing about the difference
and relationship between AI and machine learning, application of machine learning in 3
industries with ethical logical and social issues in details.
2. Discussion
2.1 Brief Knowledge of the Case Scenario for JD organization
JD is an online retail within Australia, which provides several items like consumers’
electronics, accessory or apparel as well as books to their clients in the entire world. By
proper adoption of e-commerce, they have observed a massive increment in the sales.
However, still they are unable to capture the highest market shares. Only 200 million
Australian dollars were spent on the retail goods in the last year. It was a sharp decline of
20% in the retail goods expenditure than last year. To solve this situation, the CTO of JD has
decided to include ML application in their business for bringing better business success and
also increasing customer satisfaction. They will also be implementing machine learning in
other business functional areas like automatic resume screening within the department of
human resources and also increasing total business efficiency for gaining competitive edges.