Influence of Artificial Intelligence on Growth and Development of The Mandrake Hotel
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This study aims to explore the influence of Artificial Intelligence (AI) on the growth and development of The Mandrake Hotel. It analyzes the concept of AI, ways hotels can use AI to increase growth, and the challenges they may face. The study also examines the benefits and applications of AI in the hotel industry.
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To explore the influence of Artificial Intelligence (AI) upon growth and development
organisation: a case study of The Mandrake Hotel
here.
To explore the influence of Artificial Intelligence (AI) upon growth and development
organisation: a case study of The Mandrake Hotel
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Acknowledgement
ABSTRACT
The principle explanation behind this investigation is to dissect the effect of artificial
intelligence (AI) on the Mandrake, particularly by growing the business assessment of AI-based
change projects. The aim of this investigation is “To explore the influence of Artificial
Intelligence (AI) upon growth and development organization, a case study of The Mandrake
Hotel. The investigation of the effect of man-made reasoning on the friendly portrayal and the
business assessment of man-made consciousness-related change projects has expected that we
will direct a sequential information concentrate after stage 3 or a rather normal audit and
improvement and assessment stages.
The research methodology is the main part of this investigation as this is helpful in
providing better knowledge about the collection of data and information and find out effective
ways to overcome them. In this present study, there is a mixed method considered as it is a
combination of qualitative and quantitative method. For a collection of the information, there
have been primary and secondary sources are considered. The questionnaire has been developed,
and a literature review has been conducted on secondary sources.
The findings stated that figuring insight not just opens its maximum capacity through its
capacity to improve existing cycles and improve the impacts of PCs, information, and change,
yet it can likewise separate, anticipate, and communicate with people. Therefore, the
ramifications of this investigation all the more plainly exhibited the advantages of AI locally, and
it's capacity to improve execution at the progressive (monetary, showcasing and the board) and
dimensional level. By expanding these AI credits, affiliations can improve its business evaluation
of evolving difficulties.
The conclusion stated that Artificial intelligence machines are good at quickly digesting
data and coming up with relevant responses to the question that arises in the workplace.
Depending on what they learn, they provide accurate projections and consumer demands. As AI
technology in predictive analytics demonstrates, no human can be both fast and perfect.
Businesses are now implementing AI in areas such as customer relationship management,
financing, fraud detection and security intrusion detection, as well as automating operations and
monitoring social media for brand perception. AI is becoming increasingly popular in the areas
of talent development and risk management.
The principle explanation behind this investigation is to dissect the effect of artificial
intelligence (AI) on the Mandrake, particularly by growing the business assessment of AI-based
change projects. The aim of this investigation is “To explore the influence of Artificial
Intelligence (AI) upon growth and development organization, a case study of The Mandrake
Hotel. The investigation of the effect of man-made reasoning on the friendly portrayal and the
business assessment of man-made consciousness-related change projects has expected that we
will direct a sequential information concentrate after stage 3 or a rather normal audit and
improvement and assessment stages.
The research methodology is the main part of this investigation as this is helpful in
providing better knowledge about the collection of data and information and find out effective
ways to overcome them. In this present study, there is a mixed method considered as it is a
combination of qualitative and quantitative method. For a collection of the information, there
have been primary and secondary sources are considered. The questionnaire has been developed,
and a literature review has been conducted on secondary sources.
The findings stated that figuring insight not just opens its maximum capacity through its
capacity to improve existing cycles and improve the impacts of PCs, information, and change,
yet it can likewise separate, anticipate, and communicate with people. Therefore, the
ramifications of this investigation all the more plainly exhibited the advantages of AI locally, and
it's capacity to improve execution at the progressive (monetary, showcasing and the board) and
dimensional level. By expanding these AI credits, affiliations can improve its business evaluation
of evolving difficulties.
The conclusion stated that Artificial intelligence machines are good at quickly digesting
data and coming up with relevant responses to the question that arises in the workplace.
Depending on what they learn, they provide accurate projections and consumer demands. As AI
technology in predictive analytics demonstrates, no human can be both fast and perfect.
Businesses are now implementing AI in areas such as customer relationship management,
financing, fraud detection and security intrusion detection, as well as automating operations and
monitoring social media for brand perception. AI is becoming increasingly popular in the areas
of talent development and risk management.
Table of Contents
ABSTRACT
CHAPTER 1: INTRODUCTION
CHAPTER 2: LITERATURE REVIEW
CHAPTER 3: RESEARCH METHODOLOGY
CHAPTER 4: ANALYSIS AND FINDINGS
CHAPTER 5: A CRITICAL APPRAISAL, RECOMMENDATIONS & SUGGESTIONS FOR
FUTURE WORK
CHAPTER 6: CONCLUSION
REFERENCES
APPENDIX
ABSTRACT
CHAPTER 1: INTRODUCTION
CHAPTER 2: LITERATURE REVIEW
CHAPTER 3: RESEARCH METHODOLOGY
CHAPTER 4: ANALYSIS AND FINDINGS
CHAPTER 5: A CRITICAL APPRAISAL, RECOMMENDATIONS & SUGGESTIONS FOR
FUTURE WORK
CHAPTER 6: CONCLUSION
REFERENCES
APPENDIX
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CHAPTER 1: INTRODUCTION
Information technologies (IT) have become a common phenomenon in professional
practice that blocks and interrupts every cycle and activity of the centre. When coordinated with
the environment, IT organisations can have a visible impact, particularly on the relationship
between the organisation and its customers, customers and employees (Lauterbach, 2019). They
also play an important role in the organisation's circle. And the data will be improved. Artificial
intelligence is the most exciting IT application today, an innovation that has grown exponentially
over the past decades (Wiljer and Hakim, 2019). It is characterised by a set of "assumptions and
methods used to create tools suitable for the reproduction of information". Artificial intelligence
is a general term for the use of personal computers to display deliberate behaviour without much
human intervention. "IDC estimates that 40% of computer transformation rates in 2019 will use
AI management, and 75% of business applications will use AI by 2021.
To improve the efficiency and growth of new management development, society
improves visualisation. You have to rely much more on artificial intelligence. (Crews, 2019)
Starting in the mid-2010s, GAFAM USA or BATX China will begin the fierce race for AI, with
a focus on "systems of learning "most promising (machine learning or deep learning). (Pwc,
2019) But the huge benefits and expectations offered by artificial intelligence are creating an
unparalleled market (Tractica, 2018). Cyber strikes have effectively delivered resources and
changed the world to a developed country. No data is stored in server farms by type, topic or
stack of articles to force them to make mistakes and create knowledge (Lee et al., 2018). The
mechanical shock (data) from a financial perspective can be attributed to the general public, life,
business and affects almost every aspect of the work (Yoav Shoham, 2018). Will the following
and more widely assessed AI breaches have the same impact on company association? Our study
shows that artificial intelligence activities improve performance at the ranking level. It is
recommended to study the impact and mobility effects of performance improvement at an
interactive level; this study is particularly important for evaluating the activity of an AI-
supported change project.
Research aim
Information technologies (IT) have become a common phenomenon in professional
practice that blocks and interrupts every cycle and activity of the centre. When coordinated with
the environment, IT organisations can have a visible impact, particularly on the relationship
between the organisation and its customers, customers and employees (Lauterbach, 2019). They
also play an important role in the organisation's circle. And the data will be improved. Artificial
intelligence is the most exciting IT application today, an innovation that has grown exponentially
over the past decades (Wiljer and Hakim, 2019). It is characterised by a set of "assumptions and
methods used to create tools suitable for the reproduction of information". Artificial intelligence
is a general term for the use of personal computers to display deliberate behaviour without much
human intervention. "IDC estimates that 40% of computer transformation rates in 2019 will use
AI management, and 75% of business applications will use AI by 2021.
To improve the efficiency and growth of new management development, society
improves visualisation. You have to rely much more on artificial intelligence. (Crews, 2019)
Starting in the mid-2010s, GAFAM USA or BATX China will begin the fierce race for AI, with
a focus on "systems of learning "most promising (machine learning or deep learning). (Pwc,
2019) But the huge benefits and expectations offered by artificial intelligence are creating an
unparalleled market (Tractica, 2018). Cyber strikes have effectively delivered resources and
changed the world to a developed country. No data is stored in server farms by type, topic or
stack of articles to force them to make mistakes and create knowledge (Lee et al., 2018). The
mechanical shock (data) from a financial perspective can be attributed to the general public, life,
business and affects almost every aspect of the work (Yoav Shoham, 2018). Will the following
and more widely assessed AI breaches have the same impact on company association? Our study
shows that artificial intelligence activities improve performance at the ranking level. It is
recommended to study the impact and mobility effects of performance improvement at an
interactive level; this study is particularly important for evaluating the activity of an AI-
supported change project.
Research aim
To explore the influence of Artificial Intelligence (AI) on The Mandrake Hotel growth and
development
Research objectives
To determine the concept of Artificial Intelligence in the growth and development of the
company.
To identify the ways through which hotels can increase their growth and development by
using AI.
To explore the challenges that can be faced by hotels by implementing AI.
Research questions
What is the concept of Artificial Intelligence in the growth and development of the
company?
What are the ways through which hotels can increase their growth and development by
using AI?
What are the challenges that can be faced by hotels by implementing AI?
The rationale of the research
Business development always benefits the business community but has some drawbacks.
Finding the right expansion market is a major challenge, while the organisation is striving to
grow as a whole. In this process, the market must be of suitable holdings to purchase products to
supply. Another problem is creating completely different funds in different countries and
attracting different personnel with arrangements according to organisational procedures. The
most important issue is acceptance in new markets. In such a situation, the advancement of
artificial intelligence plays an important role in extracting information and sharing and
deciphering the results demanded by the hotel industry.
Artificial intelligence gives organisations the immediate freedom to scale without major
problems from any point of view, whether legitimate or infrastructure. This also gives a wide
range of organisations access to considerable market freedom. However, it is important for
companies to understand both the benefits and hurdles of PA innovation to fill the global
development
Research objectives
To determine the concept of Artificial Intelligence in the growth and development of the
company.
To identify the ways through which hotels can increase their growth and development by
using AI.
To explore the challenges that can be faced by hotels by implementing AI.
Research questions
What is the concept of Artificial Intelligence in the growth and development of the
company?
What are the ways through which hotels can increase their growth and development by
using AI?
What are the challenges that can be faced by hotels by implementing AI?
The rationale of the research
Business development always benefits the business community but has some drawbacks.
Finding the right expansion market is a major challenge, while the organisation is striving to
grow as a whole. In this process, the market must be of suitable holdings to purchase products to
supply. Another problem is creating completely different funds in different countries and
attracting different personnel with arrangements according to organisational procedures. The
most important issue is acceptance in new markets. In such a situation, the advancement of
artificial intelligence plays an important role in extracting information and sharing and
deciphering the results demanded by the hotel industry.
Artificial intelligence gives organisations the immediate freedom to scale without major
problems from any point of view, whether legitimate or infrastructure. This also gives a wide
range of organisations access to considerable market freedom. However, it is important for
companies to understand both the benefits and hurdles of PA innovation to fill the global
marketplace. The proposed study will investigate the various applications of AI innovations and
their impact on the Mandrake Hotel Exhibition.
their impact on the Mandrake Hotel Exhibition.
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CHAPTER 2: LITERATURE REVIEW
From the earliest starting point of programming improvement, scientists like Alan Turing
thought about a PC playing chess as a trial of machine knowledge. Following these standards,
Smart Machines were conveyed in 1948, Fig Machines and Intellect in 1950, two of which will
be the main thrust for future consistent exploration in AI. Truth be told, AI proposes to utilise
mechanical gadgets focused on freely reproducing human mental capacities to accomplish their
objectives regarding every single imaginable limit (Haenlein and Kaplan, 2019).
Artificial Intelligence in the growth and development of the company
According to Adam Uzialko (2021), Man-made reasoning and its creative units (man-
made brainpower, profound learning, chatbots, neural exhibits, distance help, and so forth) are
changing the business cycle and strengthening basic associations (Kuzey, Uyar and Delen,
2014). Truth be told, AI has successfully changed the arrangement of society all in all and its
relationship to the current circumstance. Man-made brainpower has prompted another way to
deal with information the board, the objective of which is approval and a gigantic open entryway
for the local area. Notwithstanding, taking advantage of chances requires changes in culture,
perspectives and capacities (Di Francescomarino and Maggi, 2020). IBM, for instance, is named
after the Watson program (previous IBM chief Thomas Watson [1913-1994]), a computerised
reasoning PC program intended to take care of redundant language issues through a progression
of substantial activities (exhibition, direction, definition, Medical administrations) (Kohn et al.,
2014).
One of the applications is the administration of Watson Health, which enables clinicians
to utilise around date clinical and patient data for an individual way to deal with patients,
including the positive and negative parts of the patient (Kohn et al. ., 2014). Advances in man-
made reasoning exploration have made it an unavoidable point for designs for quite a long time.
Man-made intelligence has been declared since the 1960s and has gained huge headway. After
the 2000s, it was at long last affirmed with the appearance of "simulated intelligence"
(customised learning: machine "learn" from the set information it gives). His most recent
accomplishment is "Profound Learning". "(Contingent upon the anxious organ); without a doubt,
From the earliest starting point of programming improvement, scientists like Alan Turing
thought about a PC playing chess as a trial of machine knowledge. Following these standards,
Smart Machines were conveyed in 1948, Fig Machines and Intellect in 1950, two of which will
be the main thrust for future consistent exploration in AI. Truth be told, AI proposes to utilise
mechanical gadgets focused on freely reproducing human mental capacities to accomplish their
objectives regarding every single imaginable limit (Haenlein and Kaplan, 2019).
Artificial Intelligence in the growth and development of the company
According to Adam Uzialko (2021), Man-made reasoning and its creative units (man-
made brainpower, profound learning, chatbots, neural exhibits, distance help, and so forth) are
changing the business cycle and strengthening basic associations (Kuzey, Uyar and Delen,
2014). Truth be told, AI has successfully changed the arrangement of society all in all and its
relationship to the current circumstance. Man-made brainpower has prompted another way to
deal with information the board, the objective of which is approval and a gigantic open entryway
for the local area. Notwithstanding, taking advantage of chances requires changes in culture,
perspectives and capacities (Di Francescomarino and Maggi, 2020). IBM, for instance, is named
after the Watson program (previous IBM chief Thomas Watson [1913-1994]), a computerised
reasoning PC program intended to take care of redundant language issues through a progression
of substantial activities (exhibition, direction, definition, Medical administrations) (Kohn et al.,
2014).
One of the applications is the administration of Watson Health, which enables clinicians
to utilise around date clinical and patient data for an individual way to deal with patients,
including the positive and negative parts of the patient (Kohn et al. ., 2014). Advances in man-
made reasoning exploration have made it an unavoidable point for designs for quite a long time.
Man-made intelligence has been declared since the 1960s and has gained huge headway. After
the 2000s, it was at long last affirmed with the appearance of "simulated intelligence"
(customised learning: machine "learn" from the set information it gives). His most recent
accomplishment is "Profound Learning". "(Contingent upon the anxious organ); without a doubt,
AI PCs are utilised to prepare profound layers of sensory tissue. Rather than showing a lot of
information (e.g., computing all potential moves in a chess game, or taking a picture from a
record). Substitution) Organisations learn. By handling a lot of test data (clinical determination
and reasonability for new medications, energy-saving evaluations, cost estimations) (Pwc, 2019),
this sort of AI is more than human action with an abundance of data. They perform huge
activities and activities regarding rate and significance.
On the basis of Benjamin Britton (2021), Viewed as a significant driver of advancement,
AI causes any local area to (I) Proposals to gauge things (retail and different organisations) to
improve business effectiveness, keep up and store network information, enhance and improve
client cooperations, improve parts and the executives (counting new highlights) (Kuzey et al.,
2014); (ii) improve the fast and customised change to an unsteady monetary circumstance, grow
new activity plans, improve the connection among occupations and requirements through more
exact definitions and likely positions (Pwc, 2019), (iii) Differentiate the regions of bending
(banking and different administrations), automation of data on dangers and information
structures, automation of IT tasks (IT designs and activities) and usage improvement (Pwc,
2019); (iv) Pathology investigation and treatment (Koh and Tan), foreseeing the beginning of
illnesses and infections, encouraging the conveyance of individual medications, empowering
identification, anticipating calamities, and keeping force by focusing on drugs (Jiang et al., 2017;
Johnson et al. al. al., 2018); (v) Explanation of regulatory testing and quality recommendations,
supply the board, coordination and armada assets (coordination/transport and most activities) (Di
Francescomarino and Maggi, 2020). Tractica's information available model is irreversible to the
accompanying ends. Simulated intelligence will produce almost $90 billion in benefits by 2025
and increment by $7 billion out of 2018.
North America, Europe and the Asia Pacific will be the greatest beneficiaries of AI. Also,
its numerous accomplishments (Tractica, 2018). Truth be told, the three pieces of AI will be the
most encouraging parts by 2025. (1) Look for proof, perceive proof, and try not to move objects.
(2) static multiplication, portrayal and printing; And (3) getting ready clinical data for the patient.
Complete turnover in the locale could be almost (210) billion euros, somewhere close to 2016
and 2025 (Tractica, 2018).Many people associate brain power with the brutal world of science
fiction, but that image culminates when human consciousness forms and turns out to be more
information (e.g., computing all potential moves in a chess game, or taking a picture from a
record). Substitution) Organisations learn. By handling a lot of test data (clinical determination
and reasonability for new medications, energy-saving evaluations, cost estimations) (Pwc, 2019),
this sort of AI is more than human action with an abundance of data. They perform huge
activities and activities regarding rate and significance.
On the basis of Benjamin Britton (2021), Viewed as a significant driver of advancement,
AI causes any local area to (I) Proposals to gauge things (retail and different organisations) to
improve business effectiveness, keep up and store network information, enhance and improve
client cooperations, improve parts and the executives (counting new highlights) (Kuzey et al.,
2014); (ii) improve the fast and customised change to an unsteady monetary circumstance, grow
new activity plans, improve the connection among occupations and requirements through more
exact definitions and likely positions (Pwc, 2019), (iii) Differentiate the regions of bending
(banking and different administrations), automation of data on dangers and information
structures, automation of IT tasks (IT designs and activities) and usage improvement (Pwc,
2019); (iv) Pathology investigation and treatment (Koh and Tan), foreseeing the beginning of
illnesses and infections, encouraging the conveyance of individual medications, empowering
identification, anticipating calamities, and keeping force by focusing on drugs (Jiang et al., 2017;
Johnson et al. al. al., 2018); (v) Explanation of regulatory testing and quality recommendations,
supply the board, coordination and armada assets (coordination/transport and most activities) (Di
Francescomarino and Maggi, 2020). Tractica's information available model is irreversible to the
accompanying ends. Simulated intelligence will produce almost $90 billion in benefits by 2025
and increment by $7 billion out of 2018.
North America, Europe and the Asia Pacific will be the greatest beneficiaries of AI. Also,
its numerous accomplishments (Tractica, 2018). Truth be told, the three pieces of AI will be the
most encouraging parts by 2025. (1) Look for proof, perceive proof, and try not to move objects.
(2) static multiplication, portrayal and printing; And (3) getting ready clinical data for the patient.
Complete turnover in the locale could be almost (210) billion euros, somewhere close to 2016
and 2025 (Tractica, 2018).Many people associate brain power with the brutal world of science
fiction, but that image culminates when human consciousness forms and turns out to be more
normal in our everyday life. Today, human consciousness has become an easily recognisable
name (and a familiar presence here and there too). While the recognition of handmade reasoning
in normal society is another surprise, it is just another opinion. The modern field of human power
emerged in 1956, but it took several years of work to find the path needed to build and transform
a handmade reasoning structure into mechanical reality.
Ways through which hotels can increase their growth and development by using AI
Alexey Kutsenko (2021) stated that in industry, a human-powered machine has a wide
range of functions. In fact, a large percentage of us interact with human consciousness in one
facility or another on a regular basis. From commonplace to incredible reasoning, which has led
people to stop all business interactions in every industry? As advances in human power multiply,
they are becoming the foundation for organisations to be marginalised.Increasingly, pub
businesses have come to realise that top-down customer support with the right consumer
experience is the best way to build brand respect. That is why we have begun to see an increase
in the development of administrative pubs where customers are entertained with deceptive in-
house accommodation and are equally pleased with genuine helper service—AI robot.Over the
past few years, we've discovered how we can feel good about voice colleagues so quickly in the
city, overcoming any problems between cars and people. So the neighbourhood industry is
seeing this innovation in the type of bantam pub servers. Individuals love total control and
flexibility and feel involved in getting their comfort in the pub building. As an uncommon
advantage, a fair number of accommodations treat customers with careful inspections as they
arrive. The flexible and busy application involves visiting customers, giving them the
opportunity to open their room, change the room temperature and work with curtains, requesting
drinks and a variety of other things.
Here, AI-powered chatbots come in handy as a mainstay of customer support.Alexa’s
brilliant record keeps the debate going non-stop and delivers visitors 'messages to the appropriate
part of the pub staff to fulfil the request. Visitors save time and effort by entering their
application without investing energy in making up the sub-applications of the application using
mobile communication devices aca.
name (and a familiar presence here and there too). While the recognition of handmade reasoning
in normal society is another surprise, it is just another opinion. The modern field of human power
emerged in 1956, but it took several years of work to find the path needed to build and transform
a handmade reasoning structure into mechanical reality.
Ways through which hotels can increase their growth and development by using AI
Alexey Kutsenko (2021) stated that in industry, a human-powered machine has a wide
range of functions. In fact, a large percentage of us interact with human consciousness in one
facility or another on a regular basis. From commonplace to incredible reasoning, which has led
people to stop all business interactions in every industry? As advances in human power multiply,
they are becoming the foundation for organisations to be marginalised.Increasingly, pub
businesses have come to realise that top-down customer support with the right consumer
experience is the best way to build brand respect. That is why we have begun to see an increase
in the development of administrative pubs where customers are entertained with deceptive in-
house accommodation and are equally pleased with genuine helper service—AI robot.Over the
past few years, we've discovered how we can feel good about voice colleagues so quickly in the
city, overcoming any problems between cars and people. So the neighbourhood industry is
seeing this innovation in the type of bantam pub servers. Individuals love total control and
flexibility and feel involved in getting their comfort in the pub building. As an uncommon
advantage, a fair number of accommodations treat customers with careful inspections as they
arrive. The flexible and busy application involves visiting customers, giving them the
opportunity to open their room, change the room temperature and work with curtains, requesting
drinks and a variety of other things.
Here, AI-powered chatbots come in handy as a mainstay of customer support.Alexa’s
brilliant record keeps the debate going non-stop and delivers visitors 'messages to the appropriate
part of the pub staff to fulfil the request. Visitors save time and effort by entering their
application without investing energy in making up the sub-applications of the application using
mobile communication devices aca.
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Alexa is there to give, identify and recommend data in advance. The pub staff receives
the same request in the main effort not to update it, which will ensure a smoother and faster
courier service. This is the best illustration of how the man-made reasoning of Alexa helps make
everything simple and accessible at the voice order, making a consistent, liquid and profoundly
customised visitor experience and hence interfacing lodgings with visitors with little chance of
any hindrances.
Challenges that can be faced by hotels by implementing AI
On the basis of Max Starkov (2021), many hotel owners routinely forget that the hotel
website and its customer experience (UX) play an important role in the hotel's overall strengths
and overall mission. With nearly 59% of Internet travelers currently visiting hotels on their
mobile phones, the first portable web configuration is paramount. According to Google, if it
takes more than 3 seconds to create an entire site, 53% of the visitors are shut down. Guest
websites usually load over 6 seconds. The first portable responsive website to support cloud and
Content Delivery Network (CDN) obviously offers better employee response times and faster
loading speeds. So far, hotels have provided more innovation and convenience than many
visitors' homes.
True travel customers regularly value innovation and convenience at home: high-speed
internet, voice partners like Alexa, streaming media like Hulu or Netflix, great TVs, refrigerators
with IoT capabilities, air conditioning, and more. In terms of innovation, the hotel's challenge is
to create a climate in the living room and interconnected rooms anyway, but ideally surpass the
visitor's home climate. Therefore, innovations in homes and accommodations, amenities and
functions should be the same or better than what visitors are currently valuing at home.
As per the perspective of Chris Stipes (2021), this innovation can provide an expanded
booking strategy, better meetings before visitors, more research associations on hotel websites,
and a more comprehensive set of information that contributes to providing better customer
support. There are also areas where only AI can be used. Enrollment and fundraising
management is a reasonable model given that these activities are standard, and the number of
possible meetings may have certain limits on support. As a result, these posts are ideal for
Android to start powering cool. However, there may be special complaints, so visitors may
the same request in the main effort not to update it, which will ensure a smoother and faster
courier service. This is the best illustration of how the man-made reasoning of Alexa helps make
everything simple and accessible at the voice order, making a consistent, liquid and profoundly
customised visitor experience and hence interfacing lodgings with visitors with little chance of
any hindrances.
Challenges that can be faced by hotels by implementing AI
On the basis of Max Starkov (2021), many hotel owners routinely forget that the hotel
website and its customer experience (UX) play an important role in the hotel's overall strengths
and overall mission. With nearly 59% of Internet travelers currently visiting hotels on their
mobile phones, the first portable web configuration is paramount. According to Google, if it
takes more than 3 seconds to create an entire site, 53% of the visitors are shut down. Guest
websites usually load over 6 seconds. The first portable responsive website to support cloud and
Content Delivery Network (CDN) obviously offers better employee response times and faster
loading speeds. So far, hotels have provided more innovation and convenience than many
visitors' homes.
True travel customers regularly value innovation and convenience at home: high-speed
internet, voice partners like Alexa, streaming media like Hulu or Netflix, great TVs, refrigerators
with IoT capabilities, air conditioning, and more. In terms of innovation, the hotel's challenge is
to create a climate in the living room and interconnected rooms anyway, but ideally surpass the
visitor's home climate. Therefore, innovations in homes and accommodations, amenities and
functions should be the same or better than what visitors are currently valuing at home.
As per the perspective of Chris Stipes (2021), this innovation can provide an expanded
booking strategy, better meetings before visitors, more research associations on hotel websites,
and a more comprehensive set of information that contributes to providing better customer
support. There are also areas where only AI can be used. Enrollment and fundraising
management is a reasonable model given that these activities are standard, and the number of
possible meetings may have certain limits on support. As a result, these posts are ideal for
Android to start powering cool. However, there may be special complaints, so visitors may
receive inaccurate or misleading information, which can lead to errors and negative encounters.
Security can also be an issue if you can capture frames with information or limit them to
unknown elements. The easy access to this innovation continues to grow, but it is still costly and
difficult to develop into an important corporate organisation.
Conclusion
The fate of an officer could also be AI. Vehicles with smart innovations can perform service
management well, or at least be in a position where robots are easy to perform, so current
employees can make their business more customer-centric. However, there may be special
complaints, so visitors will receive inaccurate or misleading information, which can lead to
mistakes and negative encounters. Security can also be an issue if you can capture frames with
information or limit them to unknown elements. Easy access to this innovation is steadily
increasing, but it is still too expensive and difficult to guess the needs of the organisation.
Security can also be an issue if you can capture frames with information or limit them to
unknown elements. The easy access to this innovation continues to grow, but it is still costly and
difficult to develop into an important corporate organisation.
Conclusion
The fate of an officer could also be AI. Vehicles with smart innovations can perform service
management well, or at least be in a position where robots are easy to perform, so current
employees can make their business more customer-centric. However, there may be special
complaints, so visitors will receive inaccurate or misleading information, which can lead to
mistakes and negative encounters. Security can also be an issue if you can capture frames with
information or limit them to unknown elements. Easy access to this innovation is steadily
increasing, but it is still too expensive and difficult to guess the needs of the organisation.
CHAPTER 3: RESEARCH METHODOLOGY
In this study, recorded information about the survey was obtained. The main explanation
is that from the context studies presented in the era of computing, all information can be
collected and used for surveys, and everything else is the same. This is, to some extent, an
attractive route for analysts, as there is a general expectation that basic information collected at
high cost will be inefficient or routinely misused.
Research philosophy
Positivist research study believes that the information is beyond what is considered. So
what is being considered must be made so impartial and excludes individual feelings or
perspectives - the analyst does not confirm, he notices. Positivism states that there is only one
truth and that all matter is trustworthy. In the opinion of the positivist, information must be
obtained through experimental analysis, which is based on estimation and understanding. In
general, all information is seen as limited: information that does not depend on human thinking
but derives from research. For the positivist, the information must be valid, misleading, or
unimportant. Basically, unless something happens factual or untrue, it no longer holds up and is
apologized in this way.
Research approach
In this study, we use a mixed classification strategy to analyse the information in which
important information is collected in the main sheet and use various devices such as pie charts,
bar charts, pivot tables, quadratic tests, information exploration, etc., to review and test the
theory. Background Information seven other journal articles on mergers and acquisitions were
considered relevant.
To ensure the quality, credibility, and background information of small context studies,
we've made sure to include some realities, such as (i) funding relationships in other communities
and (ii) funding relationships, responsibilities, and tasks held by those representatives. . . A
community focused on engaging in contextual research and (iii) interviewing these artists. For
contextual analysis, we visited the association's site that incorporated AI into the business cycle
In this study, recorded information about the survey was obtained. The main explanation
is that from the context studies presented in the era of computing, all information can be
collected and used for surveys, and everything else is the same. This is, to some extent, an
attractive route for analysts, as there is a general expectation that basic information collected at
high cost will be inefficient or routinely misused.
Research philosophy
Positivist research study believes that the information is beyond what is considered. So
what is being considered must be made so impartial and excludes individual feelings or
perspectives - the analyst does not confirm, he notices. Positivism states that there is only one
truth and that all matter is trustworthy. In the opinion of the positivist, information must be
obtained through experimental analysis, which is based on estimation and understanding. In
general, all information is seen as limited: information that does not depend on human thinking
but derives from research. For the positivist, the information must be valid, misleading, or
unimportant. Basically, unless something happens factual or untrue, it no longer holds up and is
apologized in this way.
Research approach
In this study, we use a mixed classification strategy to analyse the information in which
important information is collected in the main sheet and use various devices such as pie charts,
bar charts, pivot tables, quadratic tests, information exploration, etc., to review and test the
theory. Background Information seven other journal articles on mergers and acquisitions were
considered relevant.
To ensure the quality, credibility, and background information of small context studies,
we've made sure to include some realities, such as (i) funding relationships in other communities
and (ii) funding relationships, responsibilities, and tasks held by those representatives. . . A
community focused on engaging in contextual research and (iii) interviewing these artists. For
contextual analysis, we visited the association's site that incorporated AI into the business cycle
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and tested the degree of linkage between ourselves and our suppliers. Before incorporating a
contextual study into a case, an initial verification of the evidence is required whether the
problem in question has been proven or explicitly investigated. In each contextual study, it was
important to know the unique situation, problem or problem, the artist interacting with the
change, the results obtained, and the relationship to the problem.
Research strategy
Research skills are predetermined rules for conducting research, collecting and analysing
information to make informed decisions. It also includes several steps to gather information and
study information, discovers wonders and identifies solutions to eradicate them. Strategies for
conducting research vary, including centre meetings, case studies, quantitative studies, and
qualitative meetings. All strategies are flawed and advantageous. In order to avoid the
shortcomings, capture all the benefits, and reduce the one-sided knowledge, this study adopted a
generally subjective and quantitative but mixed approach.
Choices
The abundance of information is a cycle of social events that must be explored to support
some explanations. There are three types of the scope of information: required, optional, and
mixed. A lot of important information arises when information is collected from direct sources
such as research, conferences, while another set of information refers to cases where information
has been collected from existing information, such as government reports or previous
investigations. In this present investigation, there has been primary and secondary data collection
method considered. In the primary method, the questionnaire has been developed, and the second
method has been considered for doing the literature review part.
contextual study into a case, an initial verification of the evidence is required whether the
problem in question has been proven or explicitly investigated. In each contextual study, it was
important to know the unique situation, problem or problem, the artist interacting with the
change, the results obtained, and the relationship to the problem.
Research strategy
Research skills are predetermined rules for conducting research, collecting and analysing
information to make informed decisions. It also includes several steps to gather information and
study information, discovers wonders and identifies solutions to eradicate them. Strategies for
conducting research vary, including centre meetings, case studies, quantitative studies, and
qualitative meetings. All strategies are flawed and advantageous. In order to avoid the
shortcomings, capture all the benefits, and reduce the one-sided knowledge, this study adopted a
generally subjective and quantitative but mixed approach.
Choices
The abundance of information is a cycle of social events that must be explored to support
some explanations. There are three types of the scope of information: required, optional, and
mixed. A lot of important information arises when information is collected from direct sources
such as research, conferences, while another set of information refers to cases where information
has been collected from existing information, such as government reports or previous
investigations. In this present investigation, there has been primary and secondary data collection
method considered. In the primary method, the questionnaire has been developed, and the second
method has been considered for doing the literature review part.
CHAPTER 4: ANALYSIS AND FINDINGS
Introduction
This chapter is based on analyses of data collected through primary source in the form of
questionnaire. The main objective of this section is to explore the responses collected from 50
respondents and interpret the information from the result.
Frequency Table
Q1) Do you have an understanding of Artificial intelligence
technology?
Frequency
a) Yes 40
b) No 10
Q2) According to you, does artificial intelligence is effective in
enhancing organisational growth?
Frequency
a) Yes 30
b) No 20
Q3) What are the benefits of artificial intelligence to business? Frequency
a) Improve Customer Communications 10
b) Strengthen Brand Loyalty 10
c) Streamline the Hiring Process 30
Q4) What are the different types of artificial intelligence
business can be used?
Frequency
a) Reactive Machines 20
b) Limited Memory 10
c) Theory of Mind 20
Q5) What is the main role of artificial intelligence in hotels? Frequency
a) Revenue management 13
b) Guest experience 17
c) Automation of daily operations. 20
Introduction
This chapter is based on analyses of data collected through primary source in the form of
questionnaire. The main objective of this section is to explore the responses collected from 50
respondents and interpret the information from the result.
Frequency Table
Q1) Do you have an understanding of Artificial intelligence
technology?
Frequency
a) Yes 40
b) No 10
Q2) According to you, does artificial intelligence is effective in
enhancing organisational growth?
Frequency
a) Yes 30
b) No 20
Q3) What are the benefits of artificial intelligence to business? Frequency
a) Improve Customer Communications 10
b) Strengthen Brand Loyalty 10
c) Streamline the Hiring Process 30
Q4) What are the different types of artificial intelligence
business can be used?
Frequency
a) Reactive Machines 20
b) Limited Memory 10
c) Theory of Mind 20
Q5) What is the main role of artificial intelligence in hotels? Frequency
a) Revenue management 13
b) Guest experience 17
c) Automation of daily operations. 20
Q6) What are the ways through which hotels can increase their
growth and development by using AI?
Frequency
a) Concierge robots 20
b) Digital assistance 17
c) Voice-activated services 13
Q7) What are the challenges that can be faced by hotels by
implementing AI?
Frequency
a) Reluctance to invest in digital technology 20
b) Antiquated accounting in hospitality 20
c) Technology and data fragmentation 10
Q8) What are the various ways hotels should be used to
implementing AI technology?
Frequency
a) Offer AI concierges 20
b) Switch to hyper dynamic pricing 15
c) Adopt group booking software 15
THEME 1: Understanding the Artificial intelligence technology
Q1) Do you have an understanding of Artificial intelligence
technology?
Frequency
a) Yes 40
b) No 10
growth and development by using AI?
Frequency
a) Concierge robots 20
b) Digital assistance 17
c) Voice-activated services 13
Q7) What are the challenges that can be faced by hotels by
implementing AI?
Frequency
a) Reluctance to invest in digital technology 20
b) Antiquated accounting in hospitality 20
c) Technology and data fragmentation 10
Q8) What are the various ways hotels should be used to
implementing AI technology?
Frequency
a) Offer AI concierges 20
b) Switch to hyper dynamic pricing 15
c) Adopt group booking software 15
THEME 1: Understanding the Artificial intelligence technology
Q1) Do you have an understanding of Artificial intelligence
technology?
Frequency
a) Yes 40
b) No 10
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a) Yes b) No
0
5
10
15
20
25
30
35
40
45
40
10
Interpretation: On the basis of 40 respondents that they have an understanding of artificial
intelligence in the business. There are remaining 10 respondents who are not aware of artificial
intelligence in a detailed manner.
THEME 2: Artificial intelligence is effective in enhancing the organisational growth
Q2) According to you, does artificial intelligence is effective in
enhancing organisational growth?
Frequency
a) Yes 30
b) No 20
a) Yes b) No
0
5
10
15
20
25
30
35
30
20
0
5
10
15
20
25
30
35
40
45
40
10
Interpretation: On the basis of 40 respondents that they have an understanding of artificial
intelligence in the business. There are remaining 10 respondents who are not aware of artificial
intelligence in a detailed manner.
THEME 2: Artificial intelligence is effective in enhancing the organisational growth
Q2) According to you, does artificial intelligence is effective in
enhancing organisational growth?
Frequency
a) Yes 30
b) No 20
a) Yes b) No
0
5
10
15
20
25
30
35
30
20
Interpretation: On the basis of 30 respondents that artificial intelligence is effective in
enhancing organisational growth. There are 20 remaining respondents who not agree with the
given statement.
THEME 3: Benefits of artificial intelligence
Q3) What are the benefits of artificial intelligence to business? Frequency
a) Improve Customer Communications 10
b) Strengthen Brand Loyalty 10
c) Streamline the Hiring Process 30
a) Improve Customer
Communications b) Strengthen Brand Loyalty c) Streamline the Hiring
Process
0
5
10
15
20
25
30
35
10 10
30
Interpretation: As per the perspective of 10 respondents that the main benefit of using artificial
intelligence in business is to improve customer communications. There are 10 respondents, and
according to the artificial intelligence Strengthen Brand Loyalty. The remaining 30 respondents
agree with the streamlined hiring process.
THEME 4: Types of artificial intelligence business can be used
Q4) What are the different types of artificial intelligence
business can be used?
Frequency
a) Reactive Machines 20
b) Limited Memory 10
c) Theory of Mind 20
enhancing organisational growth. There are 20 remaining respondents who not agree with the
given statement.
THEME 3: Benefits of artificial intelligence
Q3) What are the benefits of artificial intelligence to business? Frequency
a) Improve Customer Communications 10
b) Strengthen Brand Loyalty 10
c) Streamline the Hiring Process 30
a) Improve Customer
Communications b) Strengthen Brand Loyalty c) Streamline the Hiring
Process
0
5
10
15
20
25
30
35
10 10
30
Interpretation: As per the perspective of 10 respondents that the main benefit of using artificial
intelligence in business is to improve customer communications. There are 10 respondents, and
according to the artificial intelligence Strengthen Brand Loyalty. The remaining 30 respondents
agree with the streamlined hiring process.
THEME 4: Types of artificial intelligence business can be used
Q4) What are the different types of artificial intelligence
business can be used?
Frequency
a) Reactive Machines 20
b) Limited Memory 10
c) Theory of Mind 20
a) Reactive Machines b) Limited Memory c) Theory of Mind
0
5
10
15
20
25
20
10
20
Interpretation: There are 20 respondents who said that a reactive machine is a kind of artificial
intelligence that a company can be used. 10 respondents agree with the limited memory. There
are the remaining 20 participants who agree with the theory of the mind.
THEME 5: Role of artificial intelligence in hotels
Q5) What is the main role of artificial intelligence in hotels? Frequency
a) Revenue management 13
b) Guest experience 17
c) Automation of daily operations. 20
0
5
10
15
20
25
20
10
20
Interpretation: There are 20 respondents who said that a reactive machine is a kind of artificial
intelligence that a company can be used. 10 respondents agree with the limited memory. There
are the remaining 20 participants who agree with the theory of the mind.
THEME 5: Role of artificial intelligence in hotels
Q5) What is the main role of artificial intelligence in hotels? Frequency
a) Revenue management 13
b) Guest experience 17
c) Automation of daily operations. 20
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a) Revenue management b) Guest experience c) Automation of daily
operations.
0
5
10
15
20
25
13
17
20
Interpretation: From above mention graph, 13 respondents said that the main role of artificial
intelligence is revenue management. 17 respondents agree with the guest experience. On the
basis of 20 respondents, the role of artificial intelligence in hotels is the automation of daily
operations.
THEME 6: Ways through which hotels can increase their growth and development
Q6) What are the ways through which hotels can increase their
growth and development by using AI?
Frequency
a) Concierge robots 20
b) Digital assistance 17
c) Voice-activated services 13
operations.
0
5
10
15
20
25
13
17
20
Interpretation: From above mention graph, 13 respondents said that the main role of artificial
intelligence is revenue management. 17 respondents agree with the guest experience. On the
basis of 20 respondents, the role of artificial intelligence in hotels is the automation of daily
operations.
THEME 6: Ways through which hotels can increase their growth and development
Q6) What are the ways through which hotels can increase their
growth and development by using AI?
Frequency
a) Concierge robots 20
b) Digital assistance 17
c) Voice-activated services 13
a) Concierge robots b) Digital assistance c) Voice-activated services
0
5
10
15
20
25
20
17
13
Interpretation: According to the viewpoint of 20 respondents thatConcierge robots are the
effective way through which hotels can increase their growth and development by using AI. 17
respondents agree with Digital assistance. There are remaining 13 respondents who said that
Voice-activated services are the way through which hotels can increase their growth and
development by using AI.
THEME 7: Challenges that can be faced by hotels by implementing AI
Q7) What are the challenges that can be faced by hotels by
implementing AI?
Frequency
a) Reluctance to invest in digital technology 20
b) Antiquated accounting in hospitality 20
c) Technology and data fragmentation 10
0
5
10
15
20
25
20
17
13
Interpretation: According to the viewpoint of 20 respondents thatConcierge robots are the
effective way through which hotels can increase their growth and development by using AI. 17
respondents agree with Digital assistance. There are remaining 13 respondents who said that
Voice-activated services are the way through which hotels can increase their growth and
development by using AI.
THEME 7: Challenges that can be faced by hotels by implementing AI
Q7) What are the challenges that can be faced by hotels by
implementing AI?
Frequency
a) Reluctance to invest in digital technology 20
b) Antiquated accounting in hospitality 20
c) Technology and data fragmentation 10
a) Reluctance to invest in
digital technology b) Antiquated accounting in
hospitality c) Technology and data
fragmentation
0
5
10
15
20
25
20 20
10
Interpretation: On the basis of 20 participants that reluctance to invest in digital technology is
the main challenges that can be faced by hotels by implementing AI. 20 respondents said that
antiquated accounting in hospitality is the main issue faced by the hotel. There are the remaining
10 respondents who agree with Technology and data fragmentation issue.
THEME 8: Ways hotels should be used to implementing the AI technology
Q8) What are the various ways hotels should be used to
implementing AI technology?
Frequency
a) Offer AI concierges 20
b) Switch to hyperdynamic pricing 15
c) Adopt group booking software 15
digital technology b) Antiquated accounting in
hospitality c) Technology and data
fragmentation
0
5
10
15
20
25
20 20
10
Interpretation: On the basis of 20 participants that reluctance to invest in digital technology is
the main challenges that can be faced by hotels by implementing AI. 20 respondents said that
antiquated accounting in hospitality is the main issue faced by the hotel. There are the remaining
10 respondents who agree with Technology and data fragmentation issue.
THEME 8: Ways hotels should be used to implementing the AI technology
Q8) What are the various ways hotels should be used to
implementing AI technology?
Frequency
a) Offer AI concierges 20
b) Switch to hyperdynamic pricing 15
c) Adopt group booking software 15
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a) Offer AI concierges b) Switch to hyper dynamic
pricing c) Adopt group booking
software
0
5
10
15
20
25
20
15 15
Interpretation: According to 20 respondents, that hotel should provide AI concierges. On the
basis of 15 participants that hotels should Switch to hyper dynamic pricing. There are remaining
15 respondents who agree with adopt group booking software.
Conclusion
Based on this section it can be concluded that no biasness has been practiced while collecting the
data. All the participants have attempted all the questions and has freely posted their option in
the questionnaire. The results are further discussed in the next section which is critical appraisal,
recommendation and future suggestions.
pricing c) Adopt group booking
software
0
5
10
15
20
25
20
15 15
Interpretation: According to 20 respondents, that hotel should provide AI concierges. On the
basis of 15 participants that hotels should Switch to hyper dynamic pricing. There are remaining
15 respondents who agree with adopt group booking software.
Conclusion
Based on this section it can be concluded that no biasness has been practiced while collecting the
data. All the participants have attempted all the questions and has freely posted their option in
the questionnaire. The results are further discussed in the next section which is critical appraisal,
recommendation and future suggestions.
CHAPTER 5: A CRITICAL APPRAISAL, RECOMMENDATIONS &
SUGGESTIONS FOR FUTURE WORK
This research work is a cross-sector study that provides a picture of the study at a given
time. It doesn't think about long-term types of AI and authoritative performance. A long report
would examine the variables in AI boundaries that influence authoritative performance and
measure the efficiency patterns of long-term evolution as a result of IT initiatives. Most of the
tests lacked data on the cost and scale of AI-based transformation projects. Evaluating the costs
of these commitments will allow associations wishing to implement artificial intelligence to
exercise control and discipline. Indeed, it addresses the most convenient approach to assess the
function of change between states (from raw materials to finished products). The breadth of
commitments would allow others to think about how AI change actions will unfold in the future.
Therefore, as a result of this term and other data for the analysis of our situation, the associations
can establish a series of errors that would be ordered to determine the interdependence decisions
and the application regarding their necessity.
Our study found a strong bias for societies to use programmed learning. Approximately
33% (31.20%) of our sample demonstrates its use in societies. This interest in programmed
learning is made clear by the way in which this type of AI innovation limits human intervention
in measurement. Likewise, with this ingenuity, the framework seems to be smarter as it learns.
As a result, the more the tool (s) is used, the more powerful the framework, the more accurate
and efficient the results will be, and the less human intervention will be used. needed to make it
work. We also noted that 18.60% of the associations in our sample found individual, meaningful
and mechanical colleagues to implement their creative measures. Natural organizations, while
renowned as an innovation in societies, are so small in our example. This tends to happen on the
basis that cloud groups, which are generally anxious, are usually created and operated by all
societies. Our review reports the use of AI in the area of security (1.20%), intellectual well-
being. First, this low level of usage in our example is largely due to the way in which this AI
innovation requires a number of related assets and advances, including various types of AI
(learning computers). , learning groups), clouds, and informal communities. In addition, it
SUGGESTIONS FOR FUTURE WORK
This research work is a cross-sector study that provides a picture of the study at a given
time. It doesn't think about long-term types of AI and authoritative performance. A long report
would examine the variables in AI boundaries that influence authoritative performance and
measure the efficiency patterns of long-term evolution as a result of IT initiatives. Most of the
tests lacked data on the cost and scale of AI-based transformation projects. Evaluating the costs
of these commitments will allow associations wishing to implement artificial intelligence to
exercise control and discipline. Indeed, it addresses the most convenient approach to assess the
function of change between states (from raw materials to finished products). The breadth of
commitments would allow others to think about how AI change actions will unfold in the future.
Therefore, as a result of this term and other data for the analysis of our situation, the associations
can establish a series of errors that would be ordered to determine the interdependence decisions
and the application regarding their necessity.
Our study found a strong bias for societies to use programmed learning. Approximately
33% (31.20%) of our sample demonstrates its use in societies. This interest in programmed
learning is made clear by the way in which this type of AI innovation limits human intervention
in measurement. Likewise, with this ingenuity, the framework seems to be smarter as it learns.
As a result, the more the tool (s) is used, the more powerful the framework, the more accurate
and efficient the results will be, and the less human intervention will be used. needed to make it
work. We also noted that 18.60% of the associations in our sample found individual, meaningful
and mechanical colleagues to implement their creative measures. Natural organizations, while
renowned as an innovation in societies, are so small in our example. This tends to happen on the
basis that cloud groups, which are generally anxious, are usually created and operated by all
societies. Our review reports the use of AI in the area of security (1.20%), intellectual well-
being. First, this low level of usage in our example is largely due to the way in which this AI
innovation requires a number of related assets and advances, including various types of AI
(learning computers). , learning groups), clouds, and informal communities. In addition, it
requires billions of old information items from organized and unstructured sources, just like the
risk data contained in a large number of survey reports, websites and news reports and so on.
Limitations
There is little research on contextual research, as well as detailed analysis. The
information collected within a contextual analysis system is not unlimited, but useful. Likewise,
contextual analysis information may have been obtained with missing information. Although
contextual studies have provided a lot of data, there may have been biases in the information
contained in the cases, such as exaggerated cases or even restrictions on the information
disseminated. We recommend combining certain information assortment tools such as meetings,
surveys, optional information analysis and direct understanding, to conduct cross-study and
incorporate more comprehensive and comprehensive information into our survey question. A
copy of this study, including the manual work, comments and meetings with associations to
document all of our contextual studies, can provide additional data and our understanding of the
impact of AI on performance.
This audit work is a cross-sector study that will report on the study at a given time. It
doesn't think about long-term types of AI and reaching hierarchical boundaries. A long report
would examine the parts of AI frontiers that influence authoritative performance and measure
useful long-term evolution patterns as a result of IT initiatives. Most of the tests lacked data on
the cost and duration of AI-based transformation projects. The costing of these activities will
allow associations wishing to run AI to take action and take control.
Future scope
Our study has some hypothetical implications for a study to be considered in a future
study. For starters, one of the key experiments is to examine the direct impact of AICAP on
business performance, which contributes to critical participation in the IT business value analysis
stream as it reinforces the importance of AI which applied to individual mastery and AI
flexibility the framework to support the business value of AI transformation projects in societies.
Second, this paper complements the standardized experiments that examine the business value of
risk data contained in a large number of survey reports, websites and news reports and so on.
Limitations
There is little research on contextual research, as well as detailed analysis. The
information collected within a contextual analysis system is not unlimited, but useful. Likewise,
contextual analysis information may have been obtained with missing information. Although
contextual studies have provided a lot of data, there may have been biases in the information
contained in the cases, such as exaggerated cases or even restrictions on the information
disseminated. We recommend combining certain information assortment tools such as meetings,
surveys, optional information analysis and direct understanding, to conduct cross-study and
incorporate more comprehensive and comprehensive information into our survey question. A
copy of this study, including the manual work, comments and meetings with associations to
document all of our contextual studies, can provide additional data and our understanding of the
impact of AI on performance.
This audit work is a cross-sector study that will report on the study at a given time. It
doesn't think about long-term types of AI and reaching hierarchical boundaries. A long report
would examine the parts of AI frontiers that influence authoritative performance and measure
useful long-term evolution patterns as a result of IT initiatives. Most of the tests lacked data on
the cost and duration of AI-based transformation projects. The costing of these activities will
allow associations wishing to run AI to take action and take control.
Future scope
Our study has some hypothetical implications for a study to be considered in a future
study. For starters, one of the key experiments is to examine the direct impact of AICAP on
business performance, which contributes to critical participation in the IT business value analysis
stream as it reinforces the importance of AI which applied to individual mastery and AI
flexibility the framework to support the business value of AI transformation projects in societies.
Second, this paper complements the standardized experiments that examine the business value of
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AI in societies. In some ways, it can help prepare for future trials related to improvements in
administrations dependent on any AI innovation.
administrations dependent on any AI innovation.
CHAPTER 6: CONCLUSION
Individuals prefer total control, adaptability and sensitivity. Although AI is seen as the
emerging model of innovation, the hosting industry has had remarkable benefits and a significant
impact on its customers. From the front-end workplace where an AI-powered mechanical
assistant service resides to accommodations where voice collaborators accelerate the customer
experience, AI is seen as effective management of the pub industry today. The innovation
enables personalized support services and offers ongoing recommendations and simple requests
for assistance to the board of directors. As a result, we can discover that artificial intelligence has
long worked beyond the creative mind to display structures, which we have fully anticipated by
so much tension—intervention to increase the level of comfort in the pub building. As an
uncommon advantage, a fair number of pubs treat customers with sharp checks as soon as they
appear. The flexible and busy application allows customers to visit, giving them the opportunity
to open their room, change the room temperature and work curtains, request drinks and a variety
of different things using the phone- their committed cells. Here, AI-powered chat bots serve as
the primary means of messenger service.
Individuals prefer total control, adaptability and sensitivity. Although AI is seen as the
emerging model of innovation, the hosting industry has had remarkable benefits and a significant
impact on its customers. From the front-end workplace where an AI-powered mechanical
assistant service resides to accommodations where voice collaborators accelerate the customer
experience, AI is seen as effective management of the pub industry today. The innovation
enables personalized support services and offers ongoing recommendations and simple requests
for assistance to the board of directors. As a result, we can discover that artificial intelligence has
long worked beyond the creative mind to display structures, which we have fully anticipated by
so much tension—intervention to increase the level of comfort in the pub building. As an
uncommon advantage, a fair number of pubs treat customers with sharp checks as soon as they
appear. The flexible and busy application allows customers to visit, giving them the opportunity
to open their room, change the room temperature and work curtains, request drinks and a variety
of different things using the phone- their committed cells. Here, AI-powered chat bots serve as
the primary means of messenger service.
Reflection
In the study paper, I can feel that the biggest change I have in managing the construction of the
whole article. The card design is now mentioned in the demonstration part, so the next step is to
follow the construction I have done. Therefore, each part, just like each article section title,
should deliberately move with the construction and development in the presentation. Another
thing, the show part loses its capacity. As for my reasoning, the key is to settle down and have
pieces of thought with me. Also, I will follow the first and second reasoning statements for now.
As a result of the removal of the whole project in some basic parts, some smaller buildings in
each part should be further separated. In my update interaction, due to the large number of
words, I organized the general construction first, then the words, finally the material.
Consequently, after completing this presentation, I have found that lens separation is crucial. At
the stage where the big goal becomes small, it becomes much easier.
I have never been inspired on how to make a proper high school study paper; and I'm sure a lot
of people feel that way too. Educators were very lenient about the way our test articles were
presented, so it was never a joke if I forgot to add a book index to the journal. Another problem
that seems to affect the assumptions, from my experience, is how to get the data for the test.
In the study paper, I can feel that the biggest change I have in managing the construction of the
whole article. The card design is now mentioned in the demonstration part, so the next step is to
follow the construction I have done. Therefore, each part, just like each article section title,
should deliberately move with the construction and development in the presentation. Another
thing, the show part loses its capacity. As for my reasoning, the key is to settle down and have
pieces of thought with me. Also, I will follow the first and second reasoning statements for now.
As a result of the removal of the whole project in some basic parts, some smaller buildings in
each part should be further separated. In my update interaction, due to the large number of
words, I organized the general construction first, then the words, finally the material.
Consequently, after completing this presentation, I have found that lens separation is crucial. At
the stage where the big goal becomes small, it becomes much easier.
I have never been inspired on how to make a proper high school study paper; and I'm sure a lot
of people feel that way too. Educators were very lenient about the way our test articles were
presented, so it was never a joke if I forgot to add a book index to the journal. Another problem
that seems to affect the assumptions, from my experience, is how to get the data for the test.
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Digital Age (Vol. 13, pp. 39-64): Emerald Publishing Limited.
Di Francescomarino, C., & Maggi, F. M. (2020). Preface to the Special Issue on Artificial
Intelligence for Business Process Management 2018. Journal on Data Semantics.
doi:10.1007/s13740-020-00111-w
Haenlein, M., & Kaplan, A. J. C. M. R. (2019). A brief history of artificial intelligence: On the
past, present, and future of artificial intelligence. 61(4), 5-14.
Kelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G., & King, D. (2019). Key
challenges for delivering clinical impact with artificial intelligence. BMC Medicine,
17(1), 195. doi:10.1186/s12916-019-1426-2
Kohn, M. S., Sun, J., Knoop, S., Shabo, A., Carmeli, B., Sow, D., Rapp, W. J. Y. o. m. i. (2014).
IBM’s health analytics and clinical decision support. 23(01), 154-162.
Kuzey, C., Uyar, A., & Delen, D. (2014). The impact of multinationality on firm value: A
comparative analysis of machine learning techniques. Decision Support Systems, 59,
127-142. doi:https://doi.org/10.1016/j.dss.2013.11.001
Lauterbach, A. (2019). Artificial intelligence and policy: quo Vadis? Digital Policy, Regulation
and Governance, 21(3), 238-263. doi:10.1108/DPRG-09-2018-0054
Pwc. (2019). Sizing the prize: Exploiting the AI Revolution, What's the real value of AI for your
business and how can you capitalise? PwC's Global Artificial Intelligence Study.
Retrieved from
https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-
study.html
Rachinger, M., Rauter, R., Müller, C., Vorraber, W., & Schirgi, E. (2019). Digitalisation and its
influence on business model innovation. Journal of Manufacturing Technology
Management, 30(8), 1143-1160. doi:10.1108/JMTM-01-2018-0020
rews, C. J. R.-T. M. (2019). What Machine Learning Can Learn from Foresight: A Human-
Centered Approach: For machine learning–based forecast efforts to succeed, they must
embrace lessons from corporate foresight to address human and organisational
challenges. 62(1), 30-33.
Stank, T., Esper, T., Goldsby Thomas, J., Zinn, W., & Autry, C. (2019). Toward a Digitally
Dominant Paradigm for twenty-first century supply chain scholarship. International
Journal of Physical Distribution & Logistics Management, 49(10), 956-971.
doi:10.1108/IJPDLM-03-2019-0076
Bolwijn, R., Casella, B., & Zhan, J. (2018). International Production and the Digital Economy*.
In T. Rob van, V. Alain, & P. Lucia (Eds.), International Business in the Information and
Digital Age (Vol. 13, pp. 39-64): Emerald Publishing Limited.
Di Francescomarino, C., & Maggi, F. M. (2020). Preface to the Special Issue on Artificial
Intelligence for Business Process Management 2018. Journal on Data Semantics.
doi:10.1007/s13740-020-00111-w
Haenlein, M., & Kaplan, A. J. C. M. R. (2019). A brief history of artificial intelligence: On the
past, present, and future of artificial intelligence. 61(4), 5-14.
Kelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G., & King, D. (2019). Key
challenges for delivering clinical impact with artificial intelligence. BMC Medicine,
17(1), 195. doi:10.1186/s12916-019-1426-2
Kohn, M. S., Sun, J., Knoop, S., Shabo, A., Carmeli, B., Sow, D., Rapp, W. J. Y. o. m. i. (2014).
IBM’s health analytics and clinical decision support. 23(01), 154-162.
Kuzey, C., Uyar, A., & Delen, D. (2014). The impact of multinationality on firm value: A
comparative analysis of machine learning techniques. Decision Support Systems, 59,
127-142. doi:https://doi.org/10.1016/j.dss.2013.11.001
Lauterbach, A. (2019). Artificial intelligence and policy: quo Vadis? Digital Policy, Regulation
and Governance, 21(3), 238-263. doi:10.1108/DPRG-09-2018-0054
Pwc. (2019). Sizing the prize: Exploiting the AI Revolution, What's the real value of AI for your
business and how can you capitalise? PwC's Global Artificial Intelligence Study.
Retrieved from
https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-
study.html
Rachinger, M., Rauter, R., Müller, C., Vorraber, W., & Schirgi, E. (2019). Digitalisation and its
influence on business model innovation. Journal of Manufacturing Technology
Management, 30(8), 1143-1160. doi:10.1108/JMTM-01-2018-0020
rews, C. J. R.-T. M. (2019). What Machine Learning Can Learn from Foresight: A Human-
Centered Approach: For machine learning–based forecast efforts to succeed, they must
embrace lessons from corporate foresight to address human and organisational
challenges. 62(1), 30-33.
Stank, T., Esper, T., Goldsby Thomas, J., Zinn, W., & Autry, C. (2019). Toward a Digitally
Dominant Paradigm for twenty-first century supply chain scholarship. International
Journal of Physical Distribution & Logistics Management, 49(10), 956-971.
doi:10.1108/IJPDLM-03-2019-0076
Tractica. (2018). Artificial Intelligence Market Forecasts. 315 Consumer, Enterprise,
Government, and Defense Use Cases for Machine Learning, Deep Learning, Natural
Language Processing, Computer Vision, Machine Reasoning, and Strong AI across 30
Industry Sectors. Retrieved from https://www.tractica.com/research/artificial-
intelligence-market-forecasts/
Turulja, L., & Bajgoric, N. (2018). Information technology, knowledge management and human
resource management: Investigating mutual interactions towards better organisational
performance. VINE Journal of Information and Knowledge Management Systems, 48(2),
255-276. doi:10.1108/VJIKMS-06-2017-0035
Wiljer, D., & Hakim, Z. (2019). Developing an Artificial Intelligence–Enabled Health Care
Practice: Rewiring Health Care Professions for Better Care. Journal of Medical Imaging
and Radiation Sciences, 50(4, Supplement 2), S8-S14.
doi:https://doi.org/10.1016/j.jmir.2019.09.010
Yoav Shoham, R. P., Erik Brynjolfsson, Jack Clark, James Manyika, Juan Carlos Niebles, Terah
Lyons, John Etchemendy, Barbara Grosz and Zoe Bauer. (2018). Artificial Intelligence
Index 2018. Retrieved from https://creativecommons.org/licenses/by-nd/4.0/legalcode
Government, and Defense Use Cases for Machine Learning, Deep Learning, Natural
Language Processing, Computer Vision, Machine Reasoning, and Strong AI across 30
Industry Sectors. Retrieved from https://www.tractica.com/research/artificial-
intelligence-market-forecasts/
Turulja, L., & Bajgoric, N. (2018). Information technology, knowledge management and human
resource management: Investigating mutual interactions towards better organisational
performance. VINE Journal of Information and Knowledge Management Systems, 48(2),
255-276. doi:10.1108/VJIKMS-06-2017-0035
Wiljer, D., & Hakim, Z. (2019). Developing an Artificial Intelligence–Enabled Health Care
Practice: Rewiring Health Care Professions for Better Care. Journal of Medical Imaging
and Radiation Sciences, 50(4, Supplement 2), S8-S14.
doi:https://doi.org/10.1016/j.jmir.2019.09.010
Yoav Shoham, R. P., Erik Brynjolfsson, Jack Clark, James Manyika, Juan Carlos Niebles, Terah
Lyons, John Etchemendy, Barbara Grosz and Zoe Bauer. (2018). Artificial Intelligence
Index 2018. Retrieved from https://creativecommons.org/licenses/by-nd/4.0/legalcode
APPENDIX
QUESTIONNAIRE
Q1) Do you have an understanding about the Artificial intelligence technology?
a) Yes
b) No
Q2) According to you, does artificial intelligence is effective in enhancing the
organisational growth?
a) Yes
b) No
Q3) What are the benefits of artificial intelligence to business?
a) Improve Customer Communications
b) Strengthen Brand Loyalty
c) Streamline the Hiring Process
Q4) What are the different types of artificial intelligence business can be used?
a) Reactive Machines
b) Limited Memory
c) Theory of Mind
Q5) What is the main role of the artificial intelligence in hotels?
a) Revenue management
b) Guest experience
c) Automation of daily operations.
Q6) What are the ways through which hotels can increase their growth and
development by using AI?
a) Concierge robots
b) Digital assistance
c) Voice-activated services
Q7) What are the challenges that can be faced by hotels by implementing AI?
a) Reluctance to invest in digital technology
b) Antiquated accounting in hospitality
QUESTIONNAIRE
Q1) Do you have an understanding about the Artificial intelligence technology?
a) Yes
b) No
Q2) According to you, does artificial intelligence is effective in enhancing the
organisational growth?
a) Yes
b) No
Q3) What are the benefits of artificial intelligence to business?
a) Improve Customer Communications
b) Strengthen Brand Loyalty
c) Streamline the Hiring Process
Q4) What are the different types of artificial intelligence business can be used?
a) Reactive Machines
b) Limited Memory
c) Theory of Mind
Q5) What is the main role of the artificial intelligence in hotels?
a) Revenue management
b) Guest experience
c) Automation of daily operations.
Q6) What are the ways through which hotels can increase their growth and
development by using AI?
a) Concierge robots
b) Digital assistance
c) Voice-activated services
Q7) What are the challenges that can be faced by hotels by implementing AI?
a) Reluctance to invest in digital technology
b) Antiquated accounting in hospitality
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c) Technology and data fragmentation
Q8) What are the various ways hotels should be used to implementing the AI
technology?
a) Offer AI concierges
b) Switch to hyperdynamic pricing
c) Adopt group booking software
Q9) Recommend ways to attract more customers and gain competitive
advantages.
Q8) What are the various ways hotels should be used to implementing the AI
technology?
a) Offer AI concierges
b) Switch to hyperdynamic pricing
c) Adopt group booking software
Q9) Recommend ways to attract more customers and gain competitive
advantages.
1 out of 32
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