Subfields of AI and ML for Business and Management

DEPARTMENT OF
BUSINESS ANALYTICS

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
Subfields of AI and ML that is suitable for business and management......................................3
Synthesising the existing literature dealing with application of the AI and ML to business and
management................................................................................................................................5
Potential outlook for extension of existing AI and ML application............................................6
PART 2............................................................................................................................................6
Brief background information of data.........................................................................................6
Focus of analysis and research question.....................................................................................6
Key descriptive statistics.............................................................................................................7
Graphical analysis.......................................................................................................................9
Statistical analysis.......................................................................................................................9
Conclusion................................................................................................................................11
CONCLUSION..............................................................................................................................11
REFERENCES..............................................................................................................................13

INTRODUCTION
Business analytics is being defined as the process through which business use different
statistical methods and latest technology for the analysis of data to provide some insight and
assist in decision making. For any business to run successfully it is essential that they undertake
business analytics because no decision can be taken without an analysis of the data. The present
study will start by discussing the different technologies like artificial intelligence and machine
learning. The report will highlight the subfields of AI and ml along with the extension of
application of the existing AI and machine language. In addition to this the present study will
also highlight the analysis of data by using different tools for stop this will include statistical
analysis and interpret the results in order to take effective decisions for the betterment of the
business.
PART 1
Subfields of AI and ML that is suitable for business and management
The current modern business world involves many different technologies which can
assist business and taking effective decisions (Di Vaio and et.al., 2020). In this highly
technologically advanced world there are many technology been developed in order to assist
stick and carrying on their operations effectively. This includes two major technologies that is
artificial intelligence and machine learning. For the effective business and its management both
this technique are very helpful. The artificial intelligence is a part of computer science which is
being concerned with designing of the intelligent computer systems. These computer system
associate with the intelligence in the human behaviour. In simple words the artificial intelligence
requires many features like human behaviour such as understanding the language effective
reasoning solving problem and many other features. Use of fields of AI which are assistive and
suitable for effective business and its management. There are many different subsets of artificial
intelligence and machine learning is also a major type of subset of artificial intelligence. Other
than machine learning the major subfields of AI are as follows-
Robotics- The major subfield of AI assisted to businesses and management is the robotics
(Lavinia-Mihaela, 2019). This field of robotics emerged as a sizzling development within the
field of AI. Robotics is a type of interdisciplinary field related to science and engineering which

mixed with mechanical and electrical engineering all stop the robotic determines the designing
and operation and usage of robots. This is a computer system for the control and having
intelligent outcomes. These robots are effectively used in order to order them and make them
work as a human performs. Many of the tasks are being done with help of these robots and this is
very assistive as the person just has to direct the robot and they will do the work (Fanti,
Guarascio and Moggi, 2020). These robots are also programmed machine that can perform a
series of actions automatically as the human being performs. The artificial intelligence can be
applied to robotics in order to make them intelligent so that they can perform the task as per the
order of the human beings by them. For the effective working of the robot algorithms are very
necessary and this will assist them in performing more complex tasks easily. In the present days
both AI and machine learning is being applied over the robots in order to make the robot
intelligent so that they can socially interact just like human beings do.
Expert system- In addition to robotics another field of AI is expert system and this was
considered as the first successful model of software. The expert system is defined as a computer
system which mimics the decision making intelligence of the human being. This intelligence is
being copied by driving knowledge from the knowledge base and by implementing reasoning
and insights over the decision and then decision is being undertaken. Effectiveness of expert
system is completely based on the knowledge accumulated within the knowledge base for stop if
the more information is collected in the knowledge base then the expert will be more effective in
taking decisions in enhancing efficiency. For instance the expert system provides suggestion of
spelling errors within the Google search engine and this is an example of expert system. This
subfield of AI is built in order to deliver complex problem with help of effective reasoning and
with help of body of proficiencies which is expressed in the "if- then" rule. This is a traditional
rule which states that if this will happen then what will be the result. The key feature of this
expert system under AI is that it is reliable, easily understandable and extremely responsive.
Machine learning- Machine learning is being defined as the application of AI which assist the
system in automatically learns and improves by the experience. The major focus of ml is on
development of computer programs which can have access to data and use it effectively by
themselves. Machine learning has only a single subfield which is deep learning (Roselli,
Matthews and Talagala, 2019).