Use of Artificial Intelligence in Project Management

This dissertation explores the use of Artificial Intelligence in project management and its impact on service delivery. It discusses how AI can enhance project management activities and improve efficiency.

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Running head: DISSERTATION
Use of Artificial Intelligence in Project Management
Name of the Student
Name of the University
Author Note:

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Acknowledgment
I thank all of those who have helped me in completing the project and have been a thorough
listener to my study. I have been indebted to my supervisor………………….for his
guidance. His patience and careful pieces of advice to each of the requirements for the
completion of the study has been important for my study. Apart from this, I always want to
thank my colleagues and the staffs of the university. The study would have been incomplete
without the help of these persons. I will also take time to thank my parents and family
members who provided me the motivation and necessary inspiration to carry out the research
in a proper manner.

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Table of Contents
Introduction................................................................................................................................6
1.1 Overview..........................................................................................................................6
1.2 Problem statement............................................................................................................7
1.3 Research aim....................................................................................................................7
1.4 Research objectives..........................................................................................................7
1.5 Research questions...........................................................................................................8
1.6 Research rationale............................................................................................................8
1.7 Structure of the dissertation..............................................................................................9
1.8 Summary.........................................................................................................................10
Chapter 2..................................................................................................................................10
2.0 Literature Review...............................................................................................................10
2.1 Introduction....................................................................................................................10
2.2 Concept of Artificial Intelligence and its Identification.................................................11
Figure No 1: Components of Artificial Intelligence.............................................................12
Figure No 2: Identification of Artificial Intelligence and its components...........................12
2.3 Identification of the Link between Artificial Intelligence and the support to Project
Managers..............................................................................................................................13
2.4 CHATBOT Review.....................................................................................................17
Figure No 3: CHATBOT uses...........................................................................................17
2.5 CHATBOT and its use...................................................................................................18

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2.6 Backlogs and Categorization in Project Management....................................................19
2.7 Agile Methodology Review...........................................................................................20
2.8 Use of Agile Methodology.............................................................................................22
Figure No 4: Rapid prototyping Process..............................................................................24
2.9 Recommendations to develop Artificial Intelligence Globally......................................25
2.10 Summary of Chapter 2..................................................................................................26
Chapter 3..................................................................................................................................26
3.0 Research Methodology.......................................................................................................26
3.1 Introduction....................................................................................................................26
3.2 Research Outline............................................................................................................27
3.3 Research Philosophy......................................................................................................28
3.3.1 Justification for the selection of the Research Philosophy..........................................28
3.4 Research Approach.........................................................................................................29
3.4.1 Justification for the selection of the Research Approach............................................29
3.5 Research Design.............................................................................................................30
3.5.1 Justification for the selection of the Research Design.................................................30
3.6 Research Strategy...........................................................................................................30
3.6.1 Justification for the selection of the Research Strategy...............................................31
3.7 Sampling technique and Sampling Size.........................................................................31
3.7.1 Justification for the selection of the Sampling Technique..........................................32
3.8 Data Collection Technique.............................................................................................32

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3.8.1 Justification for the selection of the Data Collection Technique................................32
3.9 Data Analysis Technique................................................................................................33
3.9.1 Justification for the selection of the Data Analysis Technique...................................33
3.10 Ethical Considerations..................................................................................................33
3.11 Conclusion....................................................................................................................34
Chapter 4..................................................................................................................................34
4.0 Data Analysis..................................................................................................................34
Figure no 5: Pie chart showing the number of males and females.......................................35
Figure no 6: Pie chart showing the number of males and females.......................................36
Figure no 7: Pie chart showing experience of the research participants..............................37
Figure no 8: Data table showing Project management as the best tool................................38
Figure no 9: Data table showing Use of AI has helped the organization.............................39
Figure no 10: Data table showing Use of AI has boosted the performance of organizations
..............................................................................................................................................39
Figure no 11: Data table showing Use of AI can help project management process...........40
Figure no 12: Data table showing KPI is boosted with Artificial Intelligence process.......40
Figure no 13: Data table showing AI has the capability to improve the agile methodology
system...................................................................................................................................41
Figure no 14: Data table showing AI can help in the software development process..........42
Figure no 15: Data table showing AI can implement business tools...................................42
Figure no 16: Data table showing AI can increase the operational ability...........................43
Figure no 17: Data table showing AI has a direct link in project management process......44

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Chapter 5..................................................................................................................................44
5.0 Results and Discussion.......................................................................................................44
Chapter 6..............................................................................................................................47
6.0 Conclusion and Recommendations....................................................................................47
6.1 Conclusion......................................................................................................................47
6.2 Linking with the objectives............................................................................................48
6.3 Limitations......................................................................................................................49
6.4 Recommendations..........................................................................................................50
6.5 Future Scope of the study...............................................................................................50
Timeline...................................................................................................................................51
Table No 1: Timeline Table.................................................................................................52
Figure No 3: Gantt chart.......................................................................................................53
References................................................................................................................................54
Appendices...............................................................................................................................60
Appendix 1...........................................................................................................................60
Questionnaire........................................................................................................................60

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Chapter 1:
Introduction
1.1 Overview
In the modern world, technology has taken over the development of organizations.
Without the proper technology, it can be difficult for managers to plan strategically for the
growth of a company. At the same time, as stated by [2] employees benefit from technology
as it reduces the work pressure. The most significant contribution made in the world of
technology has been towards the development of Artificial Intelligence since it replicates any
work without having the assistance of human beings.
Therefore, people can utilize the assessment to utilize the technological advances.
According to [1], project managers can utilize Artificial Intelligence to enhance the services it
provides. The project managers can identify ways that help the machine technology to
provide service delivery.
The use of Artificial Intelligence in the management of the different kinds of the
projects helps the management to perform the different types of the regular activities
smoothly and paves the way for the proper administration of the projects. The insights are
uncovered through the efficient use of artificial intelligence process, perform different kinds
of the complex tasks of the business, provide the necessary recommendations and make a
different type of business decisions accordingly. The level of the science provided by
Artificial Intelligence system also helps the project to be precise and attain the different kinds
of the goals of the business. The management of the organizations use the CHATBOT’s like
PMOTTO or the strategies to gather and create different kinds of activities.

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1.2 Problem statement
The problem statement, which the research needs to focus on, is the use of Artificial
Intelligence for the development of the services provided by the project managers. The major
problem that occurs in trying to make Artificial Intelligence compatible with the project
managers is the fact that without the direct involvement of the people, managing the projects
can be difficult.
According to [12], of late, there has been a rise in the use of bots in Artificial
Intelligence system cases for project management. The bots are a kind of software that can
respond to the inputs provided by the human. The use of the bots in project management can
be helpful; for the smooth and fast communication in the project process [4]. The aims and
objectives of the research define the way forward for the following project.
1.3 Research aim
The aim of the research is to identify how the managers of a project can utilize the
different kinds of the modern tools used in the project management process to ensure the
smooth and easy operations of the project. The research aims to provide a basis for the use of
the modern kinds of the tools of artificial intelligence and their positive impact on the success
of the project.
1.4 Research objectives
The objectives of the following research are as follows,
 To create efficient project management and easy use portal with the help of AI
 To develop the easy project management activities of organization members
 Get Easy KPI (Key Performance Indicator) report of each member using CHATBOT
 To Notify the meeting reminders through CHATBOT

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 To identify the link between Artificial Intelligence and the support it provides to the
project managers
 To review the ability of the different kinds of project management tools and making a
recommendation
1.5 Research questions
The research questions include:
 How to create an efficient project management system with the easy help of AI?
 How to develop easy project management activities of organization members?
 How has AI maintained the link between it and project management?
 How to get Easy KPI (Key Performance Indicator) report of each member using
CHATBOT?
 How to notify the meeting reminders through CHATBOT?
 How to identify the link between Artificial Intelligence and the support it provides to
the project managers?
 How to review the ability of the different kinds of project management tools and
making a recommendation?
1.6 Research rationale
The identification of the development of technology was the main purpose of carrying
out the research. It also helped to find out the manner in which it can help in the
implementation of business across the sectors. According to [5], artificial intelligence can
result in the development of advanced technology in the business organizations and it can
help to ensure that business organizations can contribute to the development of technologies.
The reason behind conducting the research is to ensure that specific parts of an organization

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such as the department managed by the project managers can account for the use and
development of Artificial Intelligence.
The management of the project can be systematized and formulated in a much better
manner and can be done in a proper and effective manner with the implementation of
Artificial Intelligence. The planning, management, organization, as well as the different kinds
of monitoring activities at the time of project management process, is easier through the
implementation of Artificial Intelligence process. The implementation of the AI in project
management can help to make the project more specific and accurate in nature. The use of the
bot and the other management tools, which are technically advanced, are thus capable of
making a positive impact on the project. The research has shed light on the use of the bot and
these tools on different projects.
1.7 Structure of the dissertation
The chapters of the dissertation help in forming an overall structure of the
dissertation. The chapters include the introduction, literature review, research methodology,
analysis, findings, conclusion, and recommendation. The chapters play a significant role in
trying to complete the dissertation in a successful manner. In the introduction chapter, the
research provides an overview of the research topic selected and identified the problem.
The chapter also helps to form the research aim, objectives and questions, used in the
other chapters of the research while trying to justify the research topic. The second chapter
consists of the literature review which analysis past researches based on the same topic in a
critical manner so that related information can be presented with relevant theories. The third
chapter consists of the research methodology, which helps to understand the application of
research methods by providing justification for their selection.

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This can help in the authentic and quality data analysis of the data that is collected.
The data analysis chapter analyses the data, based on the data and methodology for achieving
the research aim and objectives. The discussion chapter helps to interpret and discuss the data
collected by using the research methodology. The dissertation concludes through this
following process. Finally, the conclusion and recommendation chapter help to deduce a
conclusion by identifying the gap, which exists in the research and links the research with the
objectives.
1.8 Summary
As a summary, the introduction chapter provides an analysis of the problem and the
manner in which it effectively uses in modern world. Artificial Intelligence plays an
important role in the advanced development of technologies and thus, it acts as one of the
most vital innovations for business. The research aim and objectives easily relate to the
application of artificial intelligence. The next chapter identifies the literature associated with
understanding the concept of Artificial Intelligence and analyzing any theories or
relationships that may exist for assisting the project managers.
Chapter 2
2.0 Literature Review
2.1 Introduction
The literary review part of the dissertation is a major chapter in the research because it
studies the different perspectives of the research and links the research questions with the
study in a systematic manner. The literature review is also significant in case of a dissertation
as because it is involved in the study of the different kinds of secondary researches clearly
linked to the subject of the research. In this particular research, the use of different researches

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based on secondary articles and researches on the same topic has been an important part of
the research. The literary review has also addressed the research questions formulated in the
first chapter. The review of the literary sources paves the way for further analysis and study
of the topic. The literature review has provided different perspectives related to the use of AI
and the ways it can be adapted to make the business process simpler in nature.
2.2 Concept of Artificial Intelligence and its Identification
Artificial Intelligence is described as a simulation of the process of intelligence
amongst human beings through the use of the different kinds of machines and other
mechanical tools. The following simulation process comprises of different kinds of learning
activities like the gathering of the information and also the best use of the systems. The
process also involves the use of the reasoning process and the corrections by means of self-
judgment [2]. Artificial Intelligence nowadays is used in different kinds of business
applications like that of voice recognitions, different types of systems involving experts and
also the use of the machinery vision. Artificial Intelligence is generally categorized under two
different kinds involving strong and weak systems. The weak systems are generally produced
and designed for the completion of a specific task. There are many examples of such kind of
systems which are meant to deliver only a specific form of task. On the other hand, there are
systems that are very strong [2]. This kinds of systems can be categorized under strong
Artificial Intelligence. The better-developed systems based on artificial systems are important
for the completion of a multitude of tasks [15]. This kind of systems is often designed to
provide human-like activities and deliver the task in a much more precise and accurate
manner. The presence of a strong Artificial Intelligence system reduces the human burden
and increases the accuracy of the work.

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Figure No 1: Components of Artificial Intelligence
Source: (searchenterpriseai.techtarget.com, 2019)
Artificial Intelligence can be identified by a number of different ways. The below-
provided figure (Figure No 2) can help to throw some light on the identification process of
Artificial Intelligence.
Figure No 2: Identification of Artificial Intelligence and its components
Source: (medium.com/@chethankumargn/artificial-intelligence-definition-types-
examples-technologies, 2019)

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The above-provided figure has provided a clear insight into the different perspectives
of Artificial Intelligence. The figure shows six different sub-divisions of the process of
Artificial Intelligence. This includes the likes of Machine Learning, processing of the natural
language, planning process, robotics, vision, speech, and expert based systems. These
systems are further identified by their different divisions. Artificial Intelligence, however,
depends on four different processes that can be said to be the main concepts of the total
system. This is classification, machine learning and last but not the least the process of
collaborative filtering [2]. The system of Artificial Intelligence is a large and complex
process because it needs a lot of data and information to perform the total simulation process.
Artificial Intelligence system is based upon the system of breaking down the problems into
smaller problems that helps in easy identification and better solving of the total process [23].
The classification process of the different data helps to provide a meaningful conclusion to
the following process. The classification process in Artificial Intelligence is helpful for the
identification of the different problems and the authentication of the problems that will be
represented and highlighted by the AI system. The problem is optimized by means of its
division into a small amount of metadata that paves the formation of the machine learning.
Last but not least the collaborative filtering of the data provides a meaningful analysis of the
different kinds of the action that is done by the proper use of Artificial Intelligence Process.
2.3 Identification of the Link between Artificial Intelligence and the support to Project
Managers
Project Management can be defined to be as the main tool for the implementation of
the objectives of a particular business. The presence of Project management and its proper
implementation since the long back has been influential to the development of the modern
business. Project management can be termed as one of the most crucial perspectives to
achieve a number of goal in the organization. Project management is often associated with

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complex problems and the stakeholders of the business play a strong role in such complex
cases. There are different types of project activities that are carried out by the organizations
this includes construction activities, financial and logistic based activities [2]. The planning,
management, organization, as well as the different kinds of monitoring activities that are
carried out during project management process, are made easier through the implementation
of the new and improved process. It is widely believed that an applications capacity to work
in line with the AI system is very much important than the cloud-based capabilities of the
company. Different kinds of reports clearly report that the use of Artificial Intelligence will
see huge growth in different workplaces. Such growth in the use of Artificial Intelligence will
practically force the management of the companies to transform the workplaces into AI
friendly places to work in. The most reliance of the organizations especially the managers of
the project will be based on the use of the conversational AI processes than the traditional
mobile applications. Most of the projects generally see the end of the day due to the absence
of a proper form of communication [20]. The absence of a proper form of communication
leads to the failure of the projects. AI system, however, can be the best option for the project
managers as AI is a very reliable process and means for the establishment of a proper form of
communication that can be capable of establishing a solid communication background.
However, it is also important for project managers to be capable of developing their
soft skills and properly implementing AI technology to make the project easier and
systematic [21]. The inclusion of AI in projects can be helpful because AI systems provide
drivers that help to make the technology easier to use. The use of the drivers helps the
business in;
a. Establishment of the link between the employees and the machines
b. Capability to mitigate the segmentation process
c. Making business systems and business processes automatic

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The link between the employees and machines can create the perfect opportunity for the
business to attract the best technology in use. Project management AI is one of the most
integrated systems that assist the power of the project managers to complete the project by
ensuring the meeting of each and every guidelines. The link-up of the organization with the
AI is a routine process and has some characteristics that help to improve the importance of
the business. Therefore the link-up of the management along with the use of the AI process
can help in the creation of strong tools for project management that will be able to address the
different concerns regarding the new project.
The management of the different types of the project is always a risk and the
application of the different methods to complete a particular project involves systematic and
scientific planning well before time and then its proper application [2]. The implementation
of the different kinds of the modern technologies of managing organizations has important
implications like that of the free agile and smooth delivery of the products and services and
other kinds of lean management technologies that aims to reduce the time and ensure
accuracy within the total system. The process of Artificial intelligence involves the
capabilities of the decision-making process as well as the machine learning process that is
completed with the help of the human brain. The use of Artificial Intelligence in an organized
and systematic process helps to avoid any kind of repetitions of the tasks and provides a
strong decision-making process to the Project Managers [3]. The implementation of Artificial
Intelligence process helps the organization to surpass the task of the individuals and make the
process more reliable and specific in nature. The project managers are specially benefited
with the application of Artificial Intelligence process during the completion of the project.
Creation of an eco-system- The use of Artificial Intelligence in the management of the
projects can be used for the aggregation of the different patterns of the workplace behavior of
the employees. It also helps to prevent the invention of something at the time of different

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kinds of changes [4]. The theoretically based function of prevention of the reinvention is one
of the major limitations. The function will become affordable at a time and will provide
proper opportunities for the success of the project. First of all the project managers is able to
allocate the exact resources to the exact role and makes use of the different technologies that
support the establishment of AI process.
Helps to deliver the best results and meet the objectives- The project managers of the
organizations are highly benefitted with the use of Artificial Intelligence in an effective
manner. The use of Artificial Systems also ensures that the machines are not tired. The
machine learning process thus ensures the smooth flow of the business operations and the
integration of the different kinds of features in a systematic way [12]. The project managers
are thus in an advantageous position over the use of Artificial Intelligence system in the
project. The reduction of idle timing is important for project management. The removal of the
time wastage provides the managers of the project with the scope of assessing the output
capability of the team members and assign the role to them
Presents a Safe Environment- The use of Artificial Intelligence system in the time of the
management of the project helps to ensure a safe environment for the organization. The use
of Artificial intelligence in the project ensures the presence of a safe environment with the
identification of the different kinds of safety features and safe work practices in the project.
The presence of the different innovative patterns of managing the projects, the project
manager and the employees of the project can easily relate the use of AI to set up specific use
of the workplace behavior and improve the consistency levels of the organization. A safe
environment in the project can be only administered in the presence of the innovative
implementation of AI

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2.4 CHATBOT Review
CHATBOT is different types of software that are used in the business. These are new
kind of tools that are designed by the IT to simplify the interaction between the humans and
the computers. The presence of CHATBOT software helps to address Artificial Intelligence
needs of the organization in the most proper and appropriate manner [12].
Figure No 3: CHATBOT uses
Source: (expertsystem.com/CHATBOT 2019)
The software has the capability to identify the intent of the user and extract the
needful data and different kinds of the relevant entities that are present in the user’s request
[6]. The major task of the software is to return the response of the user and provide the user
with the necessary answer. The software can easily answer the user by means of; a predefined
text, data or information stored in the business enterprise system, retrieved text from a
particular knowledge base and many more as such [12]. The use of CHATBOT software
helps to streamline the business information in between the people and the services. This
proper and smooth business streamlining can help the customers to get satisfied. The
customers are offered with new and improved processes that helps to change the operational
efficiency of the business [29]. The HR resources support the use of the organizational
system [3]. The presence of different kinds of CHATBOT technology is used to determine

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the different kinds of the tools to be used in the business and thus makes the organization
capable to provide the presentation of a better IT technology and better communication in the
process.
2.5 CHATBOT and its use
The running of the business requires the management to be as productive as possible
so overhead is much lower and the profits of the business are much higher in nature. The uses
of CHATBOT has become a trend for the different kinds of the organization to ensure the
success of the business in a proper manner [3]. Some of the benefits of the business
organizations include the savings of the time, financial savings, providing better customer
satisfaction, increase of the customer base and the cutting down on the errors.
 Savings of time- CHATBOT system is used on the website of the business to increase
the performance of the business and provide fast, automated and technologically
advanced services. The use of CHATBOT system prevents customers from waiting
for a longer time.
 Financial Savings- The management of the business will be able to ensure huge
financial savings for the management of the company [9]. The presence of financial
stability can ensure proper financial stability for the business.
 Customer Satisfaction- Customer Satisfaction is a part of CHATBOT system [29].
The presence of CHATBOT system is important for the satisfaction of the
customers. The implementation of the system helps the clients to be presented with a
better picture [17]. CHATBOT system helps the customer to use a user-friendly
interface that can be successful for the organization.
 Increase of a customer base- The implementation of CHATBOT system can help
the management of the organization to ensure the success of the organization in a

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proper and efficient manner. The presence of a user-friendly interface will help the
business enterprise to attract more and more customers [29].
The members of the English language community of Wikipedia began preparing the use
of bots in the online page. There were a total of 40 different editors who were selected
through the different test of requirements [3]. This group of authors nominated themselves or
the others which involved the submission of a statement to potential voters. The bots got
introduced in the online page at this particular time. The bots have been mostly neglected in
scientific research. However they are used as sociological and computerized tools that help to
constitute the research in several manners [3]. The commercial use of bots is thus quite
famous and used extensively in modern times.
2.6 Backlogs and Categorization in Project Management
Backlogs are said to be the bane of the project managers. Backlog generally relates to
unnecessary delays in completing tasks that have been assigned for the project. Unnecessary
delays can lead to a number of different kinds of problems. The main problem with backlogs
is the delay in finishing the complete work within time and also the execution of the daily
tasks at hand. The delays can result in serious challenges for the project manager to complete
the project within time with the assurance of the quality [42]. The backlogs also invite
unnecessary cost escalations and also results in loss of reputation. The resulting business
costs lead to an unprofessional gesture which certainly damages the reputation of the
company. The two different reasons that are said to be the major cause for the backlogs are
the over-reliance over some processes or reliance on the different manual processes. The
over-reliance over these processes is sure to lead to different problems that create operational
ineffectiveness.

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AI can be the best solution for the project managers in order to ensure the mitigation
or the reduction of the backlogs in the project. The AI systems are designed specifically to
perform repetitive tasks with low value and execute them in a systematic and scientific
process with great accuracy [42]. The installation of the AI system helps the management of
the business to engage the manual process is too much important higher-level roles in the
organization. The implementation of the AI process helps to avoid any forms of backlog and
changes the speed and quality of the decision-making process. In different types of
commercial business markets, the AI is applied for streamlining the business operations and
provide a good service to the customers.
Categorization is the process of having the right sensors in the right manner. The
categorization has been involved in providing the capability to identify the detection process
of the simulation process [38]. The simulation process is involved in the providence of the
sensorimotor robotics process that provides the organization the capability to use them in a
dynamic manner [41]. The Categorization process thus helps the systems to manage the
changes in the organization.
2.7 Agile Methodology Review
The Agile Methodology system is one of the most important methodologies that is
used in organizations to ensure success. The convergence of AI with that of the agile
methodology can help in the proper use of modern technologies based on robotic
communication in a much better and suitable manner [6]. Most of the organizations are
nowadays applying these methodologies in order to use AI in a much wide and effective
manner. The agile approach breaks down the larger effort into much smaller and easier to do
which further helps in the smooth operations of the tasks [25]. The agile approach allows the
data science teams of the organization to continue the learning while also provides the
opportunity to re-prioritize necessarily. This helps to drive the value and also deliver the

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value of the organization in a much better and effective manner [19]. AI model helps to
reduce the time of all the different business process and thus leads to much better
productivity of the business.
The convergence of Artificial intelligence systems with the agile world generally
produce a disruptive effect on how to develop certain software and also how to build different
kinds of business products [6]. Different software engineers of the modern-day business
organizations speak about artificial intelligence capabilities that are used to augment and
shape up the agile world of tomorrow. These software and products are built on the basis of
the modern-day as well as future challenges. The products are generally capable of taking up
different kinds of challenges that may be faced by them in the future [21]. The next
generation based AI-powered products helps the developers to move away from the fixed
business rules to the systematic and scientific set of the modern-day business data. These help
the developers of the software to move higher up the value chain as it helps them to gain an
extra advantage in the value chain market of the business [9]. The software powered by agile
methodology is capable to survive different types of challenges and are as reliable as the data
itself as well as the algorithms that power them. The main concern of the developing team of
the particular software is to ensure that the data stream are accurate enough and are able to be
consumed correctly by Artificial Intelligence systems accordingly [10]. Artificial Intelligence
team which develops the different kinds of business software must have adequate power
which can make them easily follow the different kinds of algorithm-based software.
The agile methodology approach of adopting the short term development cycles is to
prepare a goal of continuously developing a proper and improved version of the products in
the modern-day business [6]. AI-centric projects are practiced in modern-day marketing
according to the different kinds of business uses [8]. It is essential for the management of the
business to start the development process like that of the refinement and the future

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prioritization. The developmental processes of the businesses will eventually turn out to be
more and more data-driven and will involve the smart learning process [9]. The smart
learning process will involve the likes of the smart self-learning software for both businesses,
private and commercial uses [37]. Apart from this the smart learning processes in the training
regimes of the modern-day business organizations also ensures the support of the business
organizations in the most efficient and modern manner as project management teams tend to
have much deeper insights into the user’s usage patterns and behaviors [10]. The
prioritization decisions of the business organization thus become more precise, data-driven
and also turns out to be more accurate in nature.
2.8 Use of Agile Methodology
The changes in the kinds of projects have compelled the management of business
organizations to address the different types of concerns effectively. The developmental
process is based on two different tasks of the organization. The first being the changes in the
processes that can easily address the concerns of the organization. The companies are
currently in the developmental phase called the sprint and the meeting related to the
incremental process. The organization of the agile methodology process curves out the way to
ensure business success. Agile methodology use also helps to prioritize the tasks and ensure
wide scale importance to the organization.
Though the traditional software development process is about to stay here the use of
artificial intelligence in the agile methodology will be the future of the same. The machine
development through the use of the agile methodology and Artificial Intelligence process
fuels the developmental process in a smart and precise manner [11]. The project managers
and the developers of the software help the management of the business to ensure smooth
operations. There are different kinds of ways by which the management of the business
introduces and uses Artificial Intelligence in the modern-day business [10]. The very first

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thing that acts as modern-day use of AI in agile methodology process is the use of the coding
assistants. The coding assistants are an important part of the modern-day use of AI. Most of
the software developers spend their time in debugging different kinds of business code and
reading the documentation process [12]. The use of the smart coding assistants helps the
developers of the software to get the feedback easily and quickly and also save a considerable
amount of time. Python Kite is one of the best examples of this case in the following regard.
Automatic coding refactoring is another major code because it makes collaboration a much
easier and smart process. The refactoring process is one of the most essential priorities of the
business during the expansion of the organization [36]. Therefore the analysis of the code is
one of the most necessary things to be done during this time.
Strategic decision making is also helped by the application of Artificial Intelligence
process in a much better manner. The developer generally spends a large part of his time in
the selection of the best decisions that are helpful for them to ensure success [2]. The priority
features can thus be secured and shared with the management of the business. The
implementation of artificial intelligence helps the management of the business to select and
develop the best decisions and plans respectively by the assessment of the performance of the
different business applications [12]. The assessment is done in such a manner that it helps the
management of the business to analyze the risks and find out the appropriate solutions for the
business. Most importantly the selection of the best strategic decisions helps the developer to
save an ample amount of time accordingly [8]. The use of AI process in the agile
methodology process is also successful for the management of the business to ensure the
precise budgets and timelines for the business through the presence of a proper and deep
understanding of the different factors that have an impact on the implementation of the new
machine process accordingly [9]. The management of the business must act in an appropriate

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manner and reduce the errors of data handling and also use the analytics in the most
appropriate manner.
Figure No 4: Rapid prototyping Process
Source: (Batarseh and Gonzalez 2018)
Rapid prototyping is another important method in the agile methodology process as
because it is essential for the management of the business to convert the requirements into
different kinds of the technology that takes months or years to completely show its
characteristics [12]. The use of AI has reduced the developmental process time and has also
helped people with fewer skills and less idea of practical knowledge to easily develop
different kinds of business technologies [5]. The use of AI for project planning is another
modern use of the same to develop and boost the use of the agile methodology process in a
much better manner. The cognitive abilities of the project managers will have the same
kinds of ideas that will be generated through the use of Artificial Intelligence process. The
use of AI can create different simulations and permutations that are quite similar to the idea
of human intelligence. The risk estimation processes of the business can properly estimate the
risk can help avoid risks and also develop the best software suitable for the business process

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DISSERTATION
in a much better manner. According to [12] the capability to easily estimate the risk helps the
management of the business to ensure business success. The use of AI allows the
organization to retrieve the parameterized information of the business on demand. The use of
such process helps the management to retrieve past data and ensure the development of the
projects in the most systematic and controlled manner.
2.9 Recommendations to develop Artificial Intelligence Globally
The management of the business organization must focus to select the use of AI
processes and system as it is important for the management of the business organizations to
ensure business success [34]. The literary review has provided a number of recommendations
that is useful for the implementation of Artificial Intelligence process. The recognition of the
different social risks can thus be helpful for the organization in a proper and effective
manner. Secondly it is highly essential for the business to perform the explanation process
and educate the employees of the business. Such kinds of business processes are responsible
for boosting the performance of the employees which in turn changes the performance of the
business organizations. AI process is able to boost the confidence of the business employees
accordingly [32].
AI systems must also be implemented to boost the training processes of the business
organization as because the implementation of AI systems can help the employees of the
business to easily adapt to the different kinds of the training activities [27]. The
implementation of such kind of business activities helps to increase the soft skills of the
business. The soft skills of the business organization are boosted with the use of intelligence
in the most appropriate manner. Lastly, the enhancement of AI sources in the business can
boost the performance of the operations of the business [22]. The promotion of the new
source helps the management to address the issues related to the communication process. The
proper implementation of the communication process helps the management to gain success

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in different projects that are generally undertaken by them [33]. Therefore the Use of AI must
be supported and formulated by the management of the enterprises in order to ensure
successful implementation of the business goals in the most smooth and efficient manner.
2.10 Summary of Chapter 2
The above-provided chapter has provided a secondary detail about the topic of the
study. The research topic has been one of the very best selected as it has discussed on a
serious note. The literary review chapter has provided a proper analysis of the secondary data
related to the modern-day use of AI and its proper implementation. The report has provided
the benefits and uses of AI-based on project management activities. It is important for the
management of the projects to face different challenges and ensure proper business success.
The research has provided the necessary results related to the same in order to ensure the
success of the research. The review has provided the definition of artificial intelligence and
has also provided the different sources and perspectives of artificial intelligence. Apart from
providing the perspectives of the research topic, the use of CHATBOT and agile
methodology system has been provided in the research. The proper implementation of these
sources has helped to construct the literature review in a much better and organized manner.
Chapter 3
3.0 Research Methodology
3.1 Introduction
The methodology chapter is the third chapter of the assignment. The following
chapter serves as a direct link between the Literature review chapter and the data analysis
chapter. The chapter of the dissertation provides the tools and processes that presents a clear
picture in the research in order to analyze the samples and the research information to find

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out the results of the research. The main characteristics of the chapter include a systematic
and scientific application of the different perspectives of the methods. The methods help to
ensure meeting the objectives of the research [43]. The tools of the research presents a smart
manner and presented accordingly. The main purpose of the research methodology chapter is
to describe the purpose of the research tools, analyze each of them in order to select the best
tool that can be applied in the most professional and scientific manner. The research tools
described in this chapter are the philosophical perspective of the following research, approach
adopted in the research, design selected for the research [43]. Apart from this, the chapter
also highlights the uses and selection of the different kinds of other researches in a systematic
manner. Apart from the selection of the tools, the research has also presented the justification
for the selection of the specific tools used in the research.
3.2 Research Outline
Chosen methodologyMethod Head
Positivism PhilosophyPhilosophy of the research
Deductive Research ApproachThe approach of the research
Descriptive Research DesignDesign of the research
Systematic techniqueSampling Technique
50 managersSample Size of the Research
Research QuestionnaireData Collection procedure
Statistical Survey (Quantitative)Analysis of the Research

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The above table has presented the use of the tools. The above table has shown the
different tools and processes that are present to conduct the research. Positivism philosophy
of the research, deductive approach and descriptive design methodology has been used and
justified accordingly for the conduction of the research. The outline table has also shown the
different kinds of research techniques that are present in the research. The outline has also
shown the number of research participants for the research. Fifty people who are the
managers involved in daily business operations using the Artificial Intelligence System has
made up the final list of research participants selected for collecting the responses of the
research questionnaire. The outline of the research methodology has thus presented a brief
picture of the methods that used in this research.
3.3 Research Philosophy
The very first discussion of the methodological tools is the likes of the research
philosophical stance. The philosophy of the research comes at the very beginning because the
research philosophy provides the necessary scope for the establishment of the other research
tools. There are three different research tools involved in the philosophical methodologies of
any researches. Pragmatism philosophical stance, Interpretivism philosophical stance and
positivism stance of philosophy are three of the different tools of philosophy. Scientific
testing presentation with the use of the positivism philosophy and such a use can be helpful
for the validation of the research [43]. The philosophical stance of interpretivism philosophy
is useful to take note of the special perspectives related to the people. The last remaining
philosophical stance, which is the pragmatism philosophy, is a mixture of both the other
philosophical stances with characteristics of both such stances present.
3.3.1 Justification for the selection of the Research Philosophy
The research, which has dealt with the identification of the importance of Artificial
Intelligence in Research Philosophy, has to use scientific methods for testing and analysis of

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the research. Thus, the research has used the positivism stance of philosophy. The use of the
positivism philosophy has also made it easy to answer the questions of the research. The
rejection of the other two philosophies has also been well justified in the following case as
the use of those philosophical stances could have limited the scope for the research to get
access to a variety of wide range data. In order to get a clear picture of the actual use of the
AI process, a statistical analysis was undertaken. The use of the positivism stance has helped
the research to develop the best results, which supports the characteristics of the research
objectives.
3.4 Research Approach
Approaches to the research are important because it deduces the way that can help the
organization to address the different kinds of research objectives. The approaches to any
researches follow two specific ways. The first one is the inductive approach while the other
one is the deductive research-based approach. Both these approaches are equally important
for different researches. A careful observation and identification of their respective
importance leads to their selection [43]. The deductive approach when used in the research
use all the previously existing research concepts and theories. The use of this approach has
two benefits. First of all these approaches is important because it allows the researcher to
identify the different perspectives of the research easily just by applying the previously used
theories. While on the other hand, such use can help the research to be genuine and trustable
in nature. Inductive research approach leads to the use of the frameworks and theories that
follows during the conduction of the study.
3.4.1 Justification for the selection of the Research Approach
The approach selected for conducting the research in the case of the study based on
artificial intelligence is deductive. The approach of deductive research methodology is
important for the particular research as it helps to ensure the trust for the research. The

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DISSERTATION
selection of the frameworks previously created in other researches has helped to justify the
selection in this particular research. The use of the deductive research methodological
approach can also support the use of the statistical analysis of the research. The inductive
approach did not came into force mainly due to the time it takes to construct a new theory and
then proves its capability using different perspectives.
3.5 Research Design
The design for the research is also an important research methodology. The design
tools used in the methodologies of the research plays a crucial role in assigning the structure
of the research. Descriptive, exploratory and explanatory designs are the major designs.
These designs are important in their own areas and are selected and implemented in a
different manner for each of the different researches. Exploratory research design undertakes
testing of the hypothesis and the research objectives. The proper testing of the hypothesis and
the research questions and objectives [43]. The explanatory design of the study is useful for
the prediction of the future perspectives while last but not the least in anyways; the
descriptive designing of the research is a total combination of the perspectives of explanatory
and exploratory designs.
3.5.1 Justification for the selection of the Research Design
The selection of the design based on the characteristic of the research is important for
a research. The very first reason lies with the dual characteristics of the research. The
descriptive design of the research is also important for the cause and effect understanding and
accordingly clarify future happenings. The use of the design clearly supports the statistical-
based analysis of the research process. The hypothesis and the research questions identifies in
the most varied way to study the research based on the objectives.

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3.6 Research Strategy
Similar to the other tools of the methodology as discussed here, the strategy of the
research is equally important. The strategies are present to identify the research elements and
accordingly address the issues. Case study, interviews, survey methods are some of the
examples of these strategies [44]. A case study involves the selection of a specific study or
secondary research and its discussion. The use of the survey research and in interview
process, on the other hand, leads to the use of the live samples in the form of research
participants. These samples consults and takes into confidence for their participation in the
data collection process. Lastly, the research based on the action methodology presents the
identification of the issues of the research in a systematic manner [45].
3.6.1 Justification for the selection of the Research Strategy
The research-based on the determination of the uses and importance of Artificial
Intelligence on the management of the projects on a serious study, which needs the
consultation of the best experts from the market and getting an overview of the whole
business process. Thus, the use of the survey research strategy is important as because it has
helped to identify and collect the information from the live samples in the form of 50
different managers who are actively involved in different kinds of the Artificial Intelligence
process. The choice of the research strategy is thus an important scope for the success of the
research.
3.7 Sampling technique and Sampling Size
The sampling technique has to discuss the research based on the survey strategy of
research methodology. The survey strategy of the research methodology has been one of the
most important selections for the gathering of the best information related to the same. The
non-probability and the probability sampling techniques use or the use of both the research
sampling size has been widely used in different similar studies. The survey size selects the

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consideration of age, gender, population, and experience [45]. The selection as a participant
of the research in probability and non-probability sampling technique totally differ from each
other. The former provides equal chances to the sample size for participation while the latter
process based on selection by the research based on the criterion.
3.7.1 Justification for the selection of the Sampling Technique
The selection of the systematic sampling technique has been the major use of the
research. The probability of the sampling technique has helped the research to identify the
best experts of Artificial intelligence and manage the same in the most effective manner. The
systematic sampling technique in the research has used fifty participants to complete the data
collection procedure.
3.8 Data Collection Technique
Secondary research technique and primary research technique are two of the
techniques of the research. The primary technique methodology of the research reveals itself
on the opinions and the viewpoints of the research topic [46]. While the secondary technique
of the research involves the use of secondary research articles that have used in other
researches. The different secondary researches of the topic can be useful to analyze the
perspectives and subjects of the research. The primary data collection process segments in
two different manners, which are quantitative and qualitative in nature.
3.8.1 Justification for the selection of the Data Collection Technique
The research uses the topic that has the need for both the qualitative based research
elements as well as the quantitative-based research elements. Therefore, the research has
selected both the primary as well as the secondary techniques of the research methodology
process. The selection and use of the research methodology process used in different
manners. The use of secondary research processes determines and construct the research

33
DISSERTATION
literary review. On the other hand, the use of the primary methodology has supported the
construction of the data analysis process. The primary research sources have used 50 different
people for the research participants and have collected the data accordingly. The use of these
different data collection technique is important for the collection of the data.
3.9 Data Analysis Technique
The information that collected in the research identifies the analysis of the research
questions. The data can easily use the different types of tables, charts, and graphs [47]. The
data can also be analyzed using specific techniques like SPSS and other survey analysis
software. The use of the following data collection techniques is thus useful to determine the
results related to the research.
3.9.1 Justification for the selection of the Data Analysis Technique
The research has used a statistical-based approach for the analysis of the data. The
analysis of the technique is important for the research to identify the use of the different kinds
of research results and their links to the objectives of the research. The justification of the
data analysis technique is also logical because the statistical analysis has presented a tabular
based format for the responses related to each question. Apart from the selection of the
tabular based approach, the research has also presented a theoretical perspective that has
included different justifications of the research. The data analysis and the deduction of the
results form the core of the research.
3.10 Ethical Considerations
Ethics is an important part of modern researches. The ethical research perspectives are
crucial for the success of any given researches on any kind of subjects. The ethical research
can ensure the presence of trust and genuineness for the research information. The very first
information that needs to for selection is the presentation of the best safety and security to the

34
DISSERTATION
research participants, which can ensure the success of the research. The research must ensure
that the participants do not get harmed or affected. The second consideration is the assurance
for all the research data collected from the participants. The privacy of the participants, as
well as the data collected needs management. Apart from this, the research must also ensure
the presence of confirmation from the research participants. Lastly, the research must also not
engage in any form of commercial activities and the contents of the research needs
presentation only for academic reasons.
3.11 Conclusion
The research methodology chapter is certainly an important link to the review part
and the analysis part of the research. The use of the philosophical stances approaches, and
designs as the methodological tools have been an important perspective of the research. This
apart the research has also used the samples and data in the most professional manner to gain
the best information from the research sources, both primary and secondary in nature. The
methodology of the research has presented a compact shape with the inclusion of the research
ethics and its processes that ensures the validity of the research topic.
Chapter 4
4.0 Data Analysis
The data analysis chapter has been an important part of the research as the answers to
the research questionnaire statistically presents the following section or chapter of the
research. The responses to both the open-ended as well as the close-ended questions that
provides this part of the research. The data publishes from a group of different managers
amounting to 50 in number. The statistical analysis of the data has been important for the
research. The research participants have presented the reports through a sampling process and
the managers of different business organizations have approached for participation. The

35
DISSERTATION
managers have been used specifically as they are the best who can easily identify the business
process. The selection of the research participants has helped to get the most effective results
that were earlier fixed as the objectives. Critically the selection of the participants and the
selection of the secondary research review is helpful for the business organizations. The
answers are based on secondary research, which makes AI successful. The research
participants were selected on the consideration of their AI knowledge.
Male; 21
Females; 29
Gender
Figure no 5: Pie chart showing the number of males and females
Source: (As created by the Author)
The research has selected a sample size of 50 people among which there are 29 males
and 21 females. The research sample has been selected on the experience of the people in
Artificial Intelligence process. The people who have participated in the following event are
either the project managers involved in artificial intelligence implementation. The above
chart has shown the division of gender. The presence of a considerable number of female
presents non-biased research. The non-biased research is essential in this case as it helps to
present the correct set of results derived from the research.

36
DISSERTATION
14
13
15
8
Age Group
30-40 years 40-50 years 50-60 years 60 years and above
Figure no 6: Pie chart showing the number of males and females
Source: (As created by the Author)
The above figure has highlighted the number of people and their age group. The age
group of the participants is an important consideration for the research. The research sample
selects the age group starting from 30 years and has people who even come from the age
group o 60 years and above. The presence of the high age group itself justifies the importance
and seriousness of the research as the samples selects in such manner that it contains people
who have a great knowledge of both the traditional as well as the modern-day Artificial
Intelligence systems. The above figure has highlighted the number of participants coming
from different age groups. In all, 14 people come from the starting age group of 30 years to
the age group of 40 years. There are 13 and 15 people respectively in the age group of 40 to
50 years and 50 to 60 years. Lastly, eight people belonging to the age group of 60 years and
above.

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DISSERTATION
9
7
19
15
Experience in Artificial Intelligence
0-1 year 1-2 years 2-3 years 4 years and above
Figure no 7: Pie chart showing experience of the research participants
Source: (As created by the Author)
The above-shown pie chart has provided a clear picture of the experience of the
research participants in the use of Artificial intelligence. The research samples chooses a
smart and strategic manner to include a considerable amount of experienced personnel in the
business organization. The use of the considerable amount of the experienced people helps
the management of the business to ensure the success of the research. The presence of the
experienced people helps to gain the best information related to the same. It can be seen that
the least number of people amounting to just nine people have an experience of 0-1 year in
the use of Ai systems. While there are 19 people having experience of at least 2-3 years in the
same systems. A considerable amount of 15 people has shared their views on the research
who have experience amounting to more than 4 years.

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DISSERTATION
Strongly Agree Agree Neutral Disagree Strongly
Disagree
0
2
4
6
8
10
12
14
16
18
20
17
19
4
6
4
Project Management Best Tool
Figure no 8: Data table showing Project management as the best tool
Source: (As created by the Author)
The above table has shown the data levels related to whether project management is
one of the best operational tools of the modern days. The table has shown the inclination of
the research participants towards the positive answer. Most of the participants have either
strongly agreed or agreed generally to the following question. Proper observation shows that
36 participants have agreed that project management is indeed one of the best tools of the
modern-day business. Only 10 participants have answered negatively while four of the
participants have answered neutrally.
Strongly Agree Agree Neutral Disagree Strongly
Disagree
0
5
10
15
20
25
30 27
19
1 2 1
Use of AI has helped the Organizations

39
DISSERTATION
Figure no 9: Data table showing Use of AI has helped the organization
Source: (As created by the Author)
The above table has shown that whether the use of AI helps the organizations in real.
Most of the participants have answered to either strongly agrees or agree on option. There
have been almost 100% positive answer as 46 participants out of the total 50 participants
have given positive answer while a negligible amount of 3 persons have stayed negative with
only one single participant staying neutral. This proves that 92% of the people participating
in the research has agreed to the use of Artificial Intelligence.
Strongly Agree Agree Neutral Disagree Strongly
Disagree
0
5
10
15
20
25 23
18
3 5
1
Use of AI has boosted performance of
organizations
Figure no 10: Data table showing Use of AI has boosted the performance of
organizations
Source: (As created by the Author)
The above-provided table has shown whether the use of Artificial intelligence boosts
the performance of business organizations. Observation shows that 41 participants in total out
of the participating 50 participants have provided positive answers. Twenty three of the
participants have said that they strongly agree to the question while 18 of them have said that
they agree to the following matter. Only six persons have provided negative answers and
three persons have stayed neutral to whether AI helps boost performance of the organizations.

40
DISSERTATION
Strongly Agree Agree Neutral Disagree Strongly Disagree
0
5
10
15
20
25 21
16
5 3 5
Use of AI can help the project management
process
Figure no 11: Data table showing Use of AI can help project management process
Source: (As created by the Author)
It has been observed that here also, the people amounting to 37 have stayed positive
and have either strongly agreed or agreed generally to the fact that the implementation of AI
helps in the project management process. Only eight of the persons participating in the
research have not agreed to the question while five of the persons have stayed neutral, as they
do not have the perfect idea on the given fact.
Strongly Agree Agree Neutral Disagree Strongly Disagree
0
5
10
15
20
25
30
14
25
4 3 4
KPI is boosted through the use of Artificial
Intelligence process
Figure no 12: Data table showing KPI is boosted with Artificial Intelligence process
Source: (As created by the Author)

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DISSERTATION
The above-shown figure has identified the statistical data on whether KPI has boosted
by the use of Artificial Intelligence. Observation shows that almost 80% of the people agree
to the fact as 39 persons have agreed to the fact that KPI boosts with the use of the artificial
data. Four persons have stayed neutral while there are seven research participants who have
stayed negative and have not agreed to the fact, as they believe that KPI’s have not shown
significant growth with the use of Artificial Intelligence process.
Strongly Agree Agree Neutral Disagree Strongly Disagree
0
5
10
15
20
25
30
24
17
2
5
2
AI has the capability to improve the agile
methodology system
Figure no 13: Data table showing AI has the capability to improve the agile
methodology system
Source: (As created by the Author)
The above-shown table presents the show the statistical calculation of the capability
of AI to improve the agile methodology system. Forty-one participants out of 50 have agreed
to the fact that Ai has the capability to improve the agile methodology system. Observation
shows that only seven of the participants have not agreed to the question, as they believe that
Ai does not have the capability to improve the agile methodology system. It is also seen that
there are only two persons who have stayed neutral to the following question.

42
DISSERTATION
Strongly Agree Agree Neutral Disagree Strongly
Disagree
0
5
10
15
20
25
30
25
17
5
1 2
AI can help in the software development process
Figure no 14: Data table showing AI can help in the software development process
Source: (As created by the Author)
The software development process has been agreed upon by 42 persons who have
agreed to the fact that AI has the capability to help in the development of the software
development process. Only three persons have not agreed to the fact that Ai has the capability
to develop the tool. 5 persons have remained neutral as they do not have the precise idea on
whether Ai helps in the software developmental process or not.
Strongly Agree Agree Neutral Disagree Strongly Disagree
0
5
10
15
20
25 22
15
5 6
2
AI can implement business tools in a better manner
Figure no 15: Data table showing AI can implement business tools
Source: (As created by the Author)

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DISSERTATION
The above-provided table has shown the statistical analysis on whether AI has the
capability to implement the business tools in a better manner. It has been seen that 22 of the
people participating in the research and another 15 of them have respectively strongly agreed
or agreed to the fact that AI can easily implement the business tools. Only eight persons have
not agreed to the fact while five of them has stayed neutral to the following fact.
Strongly Agree Agree Neutral Disagree Strongly Disagree
0
5
10
15
20
25
30
35
12
29
1
7
1
AI can incrase operational ability of employees
Figure no 16: Data table showing AI can increase the operational ability
Source: (As created by the Author)
The above-provided table has been a proper statistical analysis of whether AI has the
ability to increase the operational ability of the employees. Operational ability research is one
of the main areas of the following research subject. It has been seen that the 82% of the
participants amounting to 41 people out of the 50 have positively answered to the question
and they agree to the fact that AI can help in the increase of the operational ability. One
person has stayed neutral while eight persons have answered negatively to the question.

44
DISSERTATION
Strongly Agree Agree Neutral Disagree Strongly
Disagree
0
5
10
15
20
25
30
24
21
1 3 1
AI has a direct link in the success of project
management
Figure no 17: Data table showing AI has a direct link in the project management
process
Source: (As created by the Author)
The above-shown table has provided the data on whether AI has a direct link in the
success of project management. It is seen that 45 people out of the total 50 participants have
answered positively to the research question while the remaining few except one person have
answered negatively to the research question. The exceptional person out of the total five
persons has stayed neutral to the question.
Chapter 5
5.0 Results and Discussion
The research has been an essential source of information relating to the importance,
use and proper implementation of the different artificial intelligence systems and its uses to
the project managers. The sample of 50 participants of the research has all been selected
based on their experience in using artificial intelligence in a commercial manner. There have
been a total of 21 women participants. These total 21 participants representing the research
participants who have helped the research to be non-biased. The involvement of the women

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DISSERTATION
participants in the research has helped the research to be compact in nature. The research has
thus been able to maintain a gender parity, which is important in the modern-day researches.
The selection of the research participants has been done in a proper and systematic manner as
the participants are all managers of different projects and have a vast experience of both
traditional as well as modern-day use of Artificial Intelligence systems. The research
participants have more or less idea and experience in different kinds of the uses of Artificial
intelligence systems.
The research has found out that most of the people and precisely the managers of the
business organizations have a great liking for Artificial Intelligence system. Project
management has been conceived as the best tool for the modern-day business, which clearly
suggests that the project can be extensively used by the management of the business
organization. Most of the people have agreed to the fact that project management is the best
tool that can be used in modern times for smooth operations. The success of project
management tools is thus important for business organizations. The majority of the people
who have participated in the research has accepted that Artificial Intelligence has really
changed the scope of the organizations. The organizations are now much more capable in
terms of business operations and implementation. The use of Artificial intelligence can thus
be said to have changed the operational performance of the organization as because the
operational performance of the organization has been highly boosted with the use of Artificial
Intelligence system. The use of Artificial Intelligence system as the likes of CHATBOT and
agile methodology has been a game-changer in the performance of the business
organizations. The performance of the business organizations has thus been able to change
and take a positive role, which has been helpful for the modern-day enterprises operating in
the business market.

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DISSERTATION
As said earlier, project management process is also benefited from the usage of the
process based on AI as because the process has a positive impact. The more the sharp and
precise is the project management process, the more will be the chance for the project to gain
success and achieve the desired results of the business organization. The research
participants, being the project managers are quite experienced about the following attribute
and have the knowledge of how the issues can be resolved in a project with the use of
Artificial Intelligence system. It is important for the business to ensure the success of the
organization to prepare and plan for the projects in the most efficient manner that can help to
gain comparative business success. The comparative success of the new project will help
deliver the results in a much better and well-proved manner. The management of the projects
can also ensure to fulfil all the key performance index of the project with the smart use of
artificial intelligence technology. He research participants have agreed to the fact that the
chances of fulfilling the different kinds of the key performance indicators are boosted with
the use of Artificial Intelligence Process. It is important for the business to use the different
kinds of KPI to ensure success. The artificial Intelligence process is important to improve the
agile methodology system, as it is equally important for the business organization to ensure
success as because it helps the management to ensure success. The data based on the
statistical analysis of the same has shown that 41 participants have agreed that the agile
methodology plays an important role in the creation of a stable and firm business structure.
The research has also shown the statistical calculation based on the software
developmental process. The software developmental process is an important part of Artificial
Intelligence process because Artificial Intelligence process has been mainly created to
facilitate the developmental process of the business. The managers have all provided their
positive responses to the question as most of them are of the belief that the software
developmental process is highly facilitated with the use of the AAI system. Therefore it can

47
DISSERTATION
be said that the software development needs to be done by implementing an Artificial
Intelligence system in the organization. It has also been seen that Ai has the capability to
implement business tools in a much better manner. The investment of the business in AI
system has thus been a proper and smart one as it facilitates the better functioning of the
business organization. AI process also helps to increase the operational ability of the
employees. The reduction in the timings has been another important benefit of Artificial
Intelligence systems as it helps the employees to develop themselves in a better manner. The
research has thus concluded that Artificial intelligence has a direct link to the success of
project management. The use of Artificial Intelligence in the most efficient manner can thus
help to improve the performance of the projects in an efficient and successful manner.
Chapter 6
6.0 Conclusion and Recommendations
6.1 Conclusion
The research has been one of the best in class as because it has discussed the different
kinds of the application and uses of Artificial Intelligence in the modern-day business
organizations has been provided in the following research. The major target of the study is to
find out the uses of Artificial Intelligence system in project management has been highlighted
and verified in the most appropriate manner. The proper enhancement of the research has
been shown in the literary review portion of the research where the different sources of
artificial intelligence and their uses has been highlighted in the most efficient manner.
CHATBOT review and the implementation of AI in agile methodology have also been
clearly highlighted here. The research has proved the importance of the following reviews in
the modern-day and has stressed on the use of AI in an appropriate manner. The use of
artificial intelligence has a lot of desired outcomes that are capable of changing the success of

48
DISSERTATION
the research. The research participants have overall provided a positive answer to the research
questions and thus it can be said that Artificial Intelligence plays a crucial role in the success
of the organization.
6.2 Linking with the objectives
The link-up with the objectives of the research and the research elements helps to
form a crucial part of the research. The combination of the research with the results is key to
the success of the research. It is important for the research to formulate the objectives
according to the systematic approach of the research questions. The linking of the objectives
are provided below;
Objective 1: Create efficient project management and easy use portal with the help of
AI
The research has shown different kinds of the uses of project management processes
and uses of project management, which has been the modern trend of project implementation
processes. The creation of easy web portals with Artificial Intelligence has provided the best
way to create an efficient AI portal.
Objective 2: To develop the easy project management activities of organization
members
The development of project management procedures has been formulated in a much
easy manner with AI process. The proper use of AI process and project management
activities has long-term sustainability. The proper growth of the different kinds of activities
related to project management process has formulated the use of project management in a
much effective manner.

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DISSERTATION
Objective 3: Get Easy KPI (Key Performance Indicator) report of each member using
CHATBOT
The research has provided a proper key performance indicator for the use of
CHATBOT. CHATBOT and its uses have provided the best results. CHATBOT forms an
important part of the modern-day AI process, as it is helpful to the business organization to
ensure a stable and systematic operational process.
Objective 4: To Notify the meeting reminders through CHATBOT
The notification process of CHATBOT is only possible with AI system and thus the
research has stressed the importance of AI system to ensure the success of CHATBOT review
process.
Objective 5: To identify the link between Artificial Intelligence and the support it
provides to the project managers
The research has clearly presented the links related to project management process
with an Artificial Intelligence system. The process is crucial for the business to ensure a
smooth and hassle-free AI system that is able to address all the issues in the project and is
able to support the project managers accordingly.
Objective 6: To review the ability of the different kinds of project management tools
and making a recommendation
The review of the ability of the tools related to project management and making the
recommendation has been provided in a much better manner in the research as the capability
of project management tools along with the implementation of AI system has added to the
importance of the research.

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DISSERTATION
6.3 Limitations
The research has been an overall success as because all the objectives have been met
according to the demands of the research in the introductory part. Though most of the
objectives of the research have been fulfilled there are some limitations in the research which
could not be avoided. The very first limitation has been the lack of adequate time. The lack of
adequate time has severely hampered the research as the research was not able to gather the
necessary information regarding the research. The availability of time could have been
helpful for making the research more informative and compact in nature. The limitation of
the time also restricted the research to select more participants as the selection of more
participants could have led to a much detailed research outcome and also led to a variety in
the observations. The fund crunch has also been a factor which acted as the limitation to the
research. The shortage of funds stooped the research to investigate much more widely and in
a detailed manner.
6.4 Recommendations
The research has detailed out a varied amount of results which is the main source for
the conclusion. Artificial Intelligence is a major element that needs to be implemented for
modern research. The use of AI in project management tasks can sharpen the ability of the
project managers and in such case they will be able to produce the best results for the project.
Thus it is recommended that the managers of the projects and the management of the
organizations must stress on the use of AI systems which can be helpful for different reasons.
It can also be said that the management of the projects must use CHATBOT systems and
other artificial intelligence systems to ease the pressure of these projects. The ease of the
pressure of the projects can easily help the success of the projects in the most efficient
manner.

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DISSERTATION
6.5 Future Scope of the study
The following research has been one of the best works related to the research as the
research has been able to address the different kinds of organizational perspectives related to
Artificial Intelligence. The research provides adequate information regarding the use and
benefits of Artificial Intelligence. The research will thus play an important role in any kinds
of future studies and will be an essential source for similar researches involving the same
research topic.
Timeline
Task Name Duration Start Finish
Project Dissertation 107 days Mon 08-07-19 Tue 03-12-19
Approval of the Research
proposal
5 days Mon 08-07-19 Fri 12-07-19
Start of the research 1 day Mon 15-07-19 Mon 15-07-19
Completion and
submission of Chapter 1
2 days Tue 16-07-19 Wed 17-07-19
Approval of Chapter 1 3 days Thu 18-07-19 Mon 22-07-19
Start of the second
Chapter
1 day Tue 23-07-19 Tue 23-07-19
Collection of secondary
data
11 days Wed 24-07-19 Wed 07-08-19
Assembly of the
secondary data
5 days Thu 08-08-19 Wed 14-08-19
Submission of the second
chapter
1 day Thu 15-08-19 Thu 15-08-19
Approval of the second 8 days Fri 16-08-19 Tue 27-08-19

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chapter
Start of the research
methodology
1 day Wed 28-08-19 Wed 28-08-19
Selection of the methods
of study
4 days Thu 29-08-19 Tue 03-09-19
Submission and approval
of the research
methodology
4 days Wed 04-09-19 Mon 09-09-19
Start of the data analysis 1 day Tue 10-09-19 Tue 10-09-19
Selection of the process of
data collection
12 days Wed 11-09-19 Thu 26-09-19
Implementation of the
data collection process
15 days Fri 27-09-19 Thu 17-10-19
Assembly of the primary
as well as the secondary
sources of data
15 days Fri 18-10-19 Thu 07-11-19
Analysis of the data 6 days Fri 08-11-19 Fri 15-11-19
Submission of the
analyzed data
1 day Mon 18-11-19 Mon 18-11-19
Providing the Concluding
part of the chapter and also
providing different
recommendations
10 days Tue 19-11-19 Mon 02-12-19
Submission of the final
assembled research
1 day Tue 03-12-19 Tue 03-12-19

53
DISSERTATION
Table No 1: Timeline Table
Source: (As created by the Author)
Figure No 3: Gantt chart
Source: (As created by the Author)

54
DISSERTATION
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Appendices
Appendix 1
Questionnaire
Open questions
To which gender do you belong?
 Male
 Female
Which age group do you belong to?
 20-30 years
 30-40 years
 40-50 years
 50 years and above
What is your experience in AI?
 0-1 year
 1-2years
 2-3 years

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 4 years and above
Closed Questions
Questions SA A N D SD
1. Do you think project management is the
best tool for modern day business?
2. Do you think use of AI has helped in the
success of the modern day business
organizations?
3. Do you think the implementation of AI
has boosted the performance of the
business organizations?
4. Do you think the use of AI can help
project management process?
5. Do you think the KPI is boosted through
the use of Artificial Intelligence process?
6. Do you think AI has the capability to
improve the Agile Methodology system?

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DISSERTATION
7. Do you think AI can help in the software
developmental process?
8. Do you think AI cn help implement the
different business tools in a much better
manner?
9. Do you think that AI can increase the
operational ability of the employees?
10. Do you think that it AI has a direct link in
the success of project management
process?
Strongly
Agree
Agree Neutra
l
Disagre
e
Strongly
Disagree
Q1 17 19 4 6 4
Q2 27 19 1 2 1
Q3 23 18 3 5 1
Q4 21 16 5 3 5
Q5 14 25 4 3 4
Q6 24 17 2 5 2
Q7 25 17 5 1 2
Q8 22 15 5 6 2
Q9 12 29 1 7 1
Q10 24 21 1 3 1