Ways AI is Transforming Industries

This article analyzes the ways in which artificial intelligence (AI) is transforming various industries and its impact on organizations. It discusses the importance of AI implementation and the development of AI-based strategies. The findings highlight the significance of AI capabilities and raise questions about short-term gains and the importance of AI implementation in organizations. The article also explores the traits of successful AI pilot projects and the value created by AI implementation.

Running head: ARTICLE ANALYSIS
ARTICLE ANALYSIS
Name of the Student
Name of the University
Author Note

1ARTICLE ANALYSIS
Introduction
The article is mainly based on the ways by which artificial intelligence or AI is able to
transform the different industries in an effective manner. The increase in GDP growth that
can take place within the year 2030 is a major part of the analysis. The rise that has been
recently seen in the usage of AI or artificial intelligence is considered to be a major factor
that has an impact on different organizations. The importance based on the development of
AI or artificial based strategies is a major issue that has been analysed in the article that has
been provided (Barão et al. 2017).
Review based on the findings of the study
The findings that have been gained based on the study are related to the proper
implementation of AI based technologies in the pilot projects. The development of effective
AI based capabilities is considered to be an important part of the analysis that has been made
with the help of the article. The two major questions that have been raised with respect to the
implementation of artificial intelligence are based on, the importance of implementation of
AI in the organizational systems in order to gain short term based gains, importance levels of
the AI implementation in organizations (Castaneda, Manrique and Cuellar 2018).
Discussion based on the literature review
As discussed by Jarrahi (2018), artificial intelligence can be defined as the process
that can help in the effective simulation of the human intelligence based processes related to
the implementation of machines or computer systems. The processes mainly include,
learning, self-correction and reasoning as well. The article is mainly based on the five major
traits of AI pilot projects that have an impact on the ways by which artificial intelligence can
be implemented in different organizations. The AI based capabilities that have been gained

2ARTICLE ANALYSIS
by the organizations are considered to be highly important for the proper development of the
pilot projects and ensuring the levels of success as well.
According to Kane (2017), the major questions that have been taken into
consideration for the analysis of development of AI pilot project include, is the project able to
provide short term based value, importance or significance of the implementation of AI. The
pilot project that has been analysed with respect to the implementation of AI is related to the
experience that has been gained by the previous leader of the Google Brain Team. The
momentum that the project has been able to gain from the implementation of AI in different
processes have been analysed by the leader in a detailed manner. The importance related to
the choice of a project that is specific to the industry is a major part of the analysis and
discussion that has been made in the article (Kasemsap 2015).
According to Kokina band Davenport (2017), the value that is created by the pilot
project based on the effective implementation of AI is the most important part of the analysis
that has been made in the report in detail. The implementation of AI in the practical fields is
considered to be an important part of the article and the analysis that has been made in the
article as well. The traits of the individuals who are a part of the industry are analysed in the
article in a detailed manner. The different parts of the operations that are implemented by the
organizations in order to facilitate the AI based implementations include the following,
The proper appointment of a leader in order to develop the cross functional
operations in an effective manner. The organization and its success is based on
the ways by which the AI can be implemented in different processes. The
major goal related to implementation of AI is based on the beliefs of the
individuals and the successful projects (Li and Du 2017).

3ARTICLE ANALYSIS
The business value that is provided by implementation of AI is based on the
development of proper technical diligence in an efficient manner. The
development of sufficient levels of value for the organization is also
considered to be highly important for the steps that have been implemented by
the members of the organization (Lopes 2016).
The development of a small team is considered to be important for the ways
by which the organization is able to operate in the industry after proper
implementation of AI in the operations. The pilot projects that are developed
for the purpose of innovation implementation are mainly based on the ways by
which the small teams are able to understand the importance levels of the AI
process (Mayer, Caruso and Salovey 2016).
Communication is considered to be the most important part of the analysis that
is made in the article based on implementation of pilot projects by the modern
organizations. The PR based operations that have been performed by the
organizations is based on the formation of AI based activities. The success of
the organization is also based on the rewards that are provided to the
employees or members of different teams (Lopes 2016).
The leader of Google Brain team has been able to turn the organizations into AI based
organizations in an effective manner. The proper selection of the pilot projects or the
development of effective AI based implementations is considered to be the most important
factor that is able to affect the operations of the modern organizations. The ways by which
the organizations are able to master the implementation of AI in the vertical industry based
sector are considered to be highly important for them (Müller and Bostrom 2016). The
organizations can rather implement the AI based technologies in order to improve the speed
based on the organizational operations in an effective manner. The proper selection of the

4ARTICLE ANALYSIS
pilot projects or AI implementation is considered to be highly important for the operations of
the company in the respective industries (Salas et al. 2015).
As discussed by Tonidandel, King and Cortina (2018), the use of AI based
technologies has been standardized in different industries all over the world. The modern
organizations have been able to implement the AI based activities in order to improve the
operations in different countries or areas in an effective manner. The usage of the artificial
intelligence based activities in the organizations is based on the full potential that can be
provided in order to improve the levels of revenues. The tests that are implemented by the
organizations in order to test the implementation of AI are considered to be highly important
for the success of application of the processes.
According to Salas et al. (2015), the interaction levels that can be developed between
humans and the machines in the organizations is considered to be highly important for the
organizational operations in their respective industries. The process of training and machine
learning is considered to be highly important for the ways by which the organizations can
improve the levels of revenues and profitability in the organizations. The new processes of
the business and products that are offered to the consumers are able to affect the ways by
which AI based technologies can be implemented.
According to Kokina band Davenport (2017), the advantage that has been provided to
the organizations is considered to be important for the development of revenues in an
effective manner. The proper utilization of the artificial intelligence based process is highly
important for the ways by which organizations can maintain a sustainable position in an
effective manner. The data of the consumers and the employees is able to play a major role in
the ways by which the speed of operations of the modern organizations (Mayer, Caruso and
Salovey 2016).

5ARTICLE ANALYSIS
The AI-fuelled organizations are thereby able to provide better levels of services to
the consumers in comparison to the organizations that offer normal services. The time
required by the organizations in order to solve the issues that are faced by the organizations
have been reduced in an effective manner by the ways by which AI can be used in the
operations. The effectiveness of the operations of modern organizations in different industries
are able to affect the ways by which revenue levels can be increased in an effective manner
(Castaneda, Manrique and Cuellar 2018).
Conclusion
The analysis can be concluded by stating that the implementation of artificial
intelligence can help the organizations to improve the revenue levels and time that is required
for the development of different organizational processes as well. The artificial intelligence
of the organizations also requires collaboration of the employees and the levels of training
that are provided to them. The interaction between different machines in the organizations
with the employees are considered to be highly important for the improvement of the
revenues in various industries. The levels of customer satisfaction can also be improved with
the help of proper services that are offered by organizations.

6ARTICLE ANALYSIS
References
Barão, A., de Vasconcelos, J.B., Rocha, Á. and Pereira, R., 2017. A knowledge management
approach to capture organizational learning networks. International Journal of Information
Management, 37(6), pp.735-740.
Castaneda, D.I., Manrique, L.F. and Cuellar, S., 2018. Is organizational learning being
absorbed by knowledge management? A systematic review. Journal of Knowledge
Management, 22(2), pp.299-325.
Jarrahi, M.H., 2018. Artificial intelligence and the future of work: human-AI symbiosis in
organizational decision making. Business Horizons, 61(4), pp.577-586.
Kane, G.C., 2017. The evolutionary implications of social media for organizational
knowledge management. Information and organization, 27(1), pp.37-46.
Kasemsap, K., 2015. The role of data mining for business intelligence in knowledge
management. In Integration of data mining in business intelligence systems (pp. 12-33). IGI
Global.
Kokina, J. and Davenport, T.H., 2017. The emergence of artificial intelligence: How
automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1),
pp.115-122.
Li, D. and Du, Y., 2017. Artificial intelligence with uncertainty. CRC press.
Lopes, P.N., 2016. Emotional intelligence in organizations: Bridging research and
practice. Emotion Review, 8(4), pp.316-321.
Mayer, J.D., Caruso, D.R. and Salovey, P., 2016. The ability model of emotional intelligence:
Principles and updates. Emotion Review, 8(4), pp.290-300.

7ARTICLE ANALYSIS
Müller, V.C. and Bostrom, N., 2016. Future progress in artificial intelligence: A survey of
expert opinion. In Fundamental issues of artificial intelligence (pp. 555-572). Springer,
Cham.
Salas, E., Shuffler, M.L., Thayer, A.L., Bedwell, W.L. and Lazzara, E.H., 2015.
Understanding and improving teamwork in organizations: A scientifically based practical
guide. Human Resource Management, 54(4), pp.599-622.
Tonidandel, S., King, E.B. and Cortina, J.M., 2018. Big data methods: Leveraging modern
data analytic techniques to build organizational science. Organizational Research
Methods, 21(3), pp.525-547.