Integration of Artificial Intelligence in Organizations

This essay discusses the integration of artificial intelligence in organizations, including challenges and benefits. It explores the use of AI in cloud-based services and the importance of expertise and resources. The essay also examines the potential applications of AI in different industries and the role of data mining in organizational intelligence.

Running head: INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ORGANIZATION
INTRGRATION OF ARTIFICIAL INTELLIGNECE IN ORGANIZATIONS
Name of the Student
Name of the University
Author Note

1INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ORGANIZATIONS
Introduction
In the coming years, the point can be expected that organization around the globe will
focus on cloud-based AI services and software. There is large number of organization the
globe that have adopted AI capabilities by the help of cloud-based software (Intelligence,
2019). Around 65 percent of will aim to create AI based application by making use of cloud-
based services. Artificial Intelligence comprises of list of technologies. It is considered to be
foundation of machine learning and more complex kind of off-springs. Technologies in
relation to AI (Artificial Intelligence) comprises of large number of things like system vision,
natural processing of language and lastly inability to make proper prediction and unearth
insight. In the last few years there has huge number of developments in deep-learning and
machine learning (Intelligence, 2019). These particular technologies have helped us a lot in
improving the operation and development of new kind of offerings. The main focus of
Artificial Intelligence is all about providing much better customer service at much lower cost.
StaIn the meantime, the leading companies such as Google, Microsoft and also the Salesforce
are combining with the Artificial Intelligence as a kind of integrating layer across entire tech
stacks (Kasemsap, 2015). A plateau is occurring under the surface, which makes the existing
tech smarter unlock the power of the information that the enterprise collects. The wide
spreading use of the machine learning, the computerized vision and the natural language
processing have made the process quite easier to bake the AI algorithms in to the cloud-based
platform. One should be familiar with what a modern AI is able to do.
The TechCode Accelerators offer the start-ups a variety of resources through
partnerships with that of the organizations such as the University of Stanford and the
corporations which are the AI space. One should also take advantage of the wealth of the
online data and also the resources that are available in order to familiarize oneself with the
basic concepts of artificial intelligence. Organizations that are facing flat and an unchanging

2INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ORGANIZATIONS
environment do not require much intelligence, but the organizations that are facing the
diverse and a turbulent environment may require a higher degree of intelligence.
Discussion
At present, organization encounters huge number of challenges in Artificial
intelligence like lack of expertise and inability to make use of available full resources. Both
Machine learning and Deep Learning require team that comes up with expert in AI. Apart
from this, the next point that needs to be taken consideration is the access to data sets,
infrastructure, and power of processing (Intelligence, 2019). Organization can create
customized solution which is needed for scaling the organization. All the given level of
investment require proper time in the development and is out of reach for many
organizations. Artificial Intelligence can provide proper benefits which are required in
technical expertise and much strong IT infrastructure. There is need for deep pockets for
acquiring the required skills and overall cost of data science skills that are very much notable.
The organization is looking for bidding wars which is considered to be very much expensive
in nature. Organization has invested huge amount of money for creating data center and
proper processors. Improvements in the field of intelligence may be considered to be possible
as well as desirable. The step that an organization must take is to identify the problems that
artificial intelligence can solve. The organization has to think the type of AI that is capable of
the existing services and the products. The company should have a kind of strategy in which
AI could be able to solve the business related problems or can provide a demonstrated value.
The next step includes accessing the potential businesses and the financial values of possible
AI implementations that were identified. Tang stated that in order to prioritize one must look
at the potential ad the feasibility and also put them together in a 2x2 matrix. This will
definitely help the organization to prioritize that is based in the near term visibility and also
know about the financial values of company. The organizational intelligence resides in

3INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ORGANIZATIONS
knowledge distribution, processes, procedures and also the links among the agents. In order
to improve the organizational intelligence, the steps need to be followed. The communication
strategies address the meaning that the intentions are shared successfully in the organizations,
especially which is between the multiple subcultures, address the extents in which the
organization is successfully communicating with the stakeholder’s and also hear what the
stakeholders basically asks for. The group dynamics help in addressing how the peoples will
be working together in the organizations. The process improvements include lack of
congruence with the business and the goals and the values of the organizations. The risk
management includes addressing the extent to which the individuals and the groups within
that organization face certain challenges and the uncertainties of the procedure. Data mining
include the development techniques of organizational intelligence. It is basically a process by
which the external knowledge can be extracted from a larger volume of the raw information.
Data mining can be defined as the most intuitive, which allows increased insight which is
behind the data warehousing. Most of the companies redefine and also deduce massive data
qualities. Data mining implements rapidly on the software and in the hardware platforms in
order to enhance the values of the existing information resources, that will be providing great
help to analyze huge databases. Most common data mining method include association which
is basically the capability to identify the nontrivial subsets of the simultaneous occurrence of
the actions and the situations. Classification includes the extraction of the data subsets
according to some common attributes (Elzamly et al., 2017). Clustering involves
unsupervised data grouping based on some common features. Prediction includes the possible
identification of the future evolution of the instance that is based on the recognized behaviour
(Wan et al., 2017).
Google has come up with its own designed chips by which they can enhance machine
learning in their data centers and related IoT devices. Organization is focusing on deep

4INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ORGANIZATIONS
learning after the launch of Google brain. It makes use of a large number of things ranging
from video analytics to its cooling data center. Amazon makes use of deep learning for
driving proper recommendation in the last few years. This particular firm makes use of deep
learning for making changes in their business process along with development of new
products categories like virtual assistant (Intelligence, 2019). There are many tech giants
which makes use of AI for creating huge amount of services and transformation in their
operation. For proper development of AI-based services, they are familiar with solution
looking for any kind of challenge or opportunity. It is all about finding proper solution within
the organization. The computational organizations attempt to understand the complementary
organization type. The first is the natural or the human organizations which basically
acquires, manipulates and also produce information through the joint as well as interlocking
activities of the people and the information technologies (Kok & Widergren,2016).
Secondly, the Computational Organization studies the artificial organizational computation
collective organizational properties which includes the needs to act in a collective manner,
assignments of the tasks, distribution of the knowledge and the ability of the agents to
connect and communicate with the agents (Ransbotham et al., 2017).
There are new kind of additional features like voice assistance that under-benefits for
cloud-based AI. There is huge number of competition among the AI providers which is
improving the overall cloud-based services. Cloud delivery allow the customers to make use
of any advantage available to them. Organization is expanding in range of AI-based services
which is chosen in the year 2019 (Intelligence, 2019). With the passage of time, new kind of
cloud-based services is entering the market. Recently, Google-based services focus on some
particular areas like HR and marketing. When an organization is building an artificial
intelligence system it will be requiring a combination of the meeting needs as well as the
research projects. The overall consideration is that the system should be built with balance.

5INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ORGANIZATIONS
AI systems are basically built around the specific aspects on how the team envisions in order
to achieve the researching goals, without even understanding the requirements and the
limitation would be of hardware and the software that will be supporting the research. In
order to achieve the balance, the companies must build a sufficient bandwidth for the storage,
the graphical processing units, and the networking. Security can be defined as an oft-
overlooked component. Artificial Intelligence by very nature requires broad swaths of the
information in order to do job (Li et al., 2017). One should understand the types of
information that are basically involved in the project and that are usual security safeguards
which include encryption, anti-malware and virtual private networks which may not prove to
be enough. The additional insights and the automation as well provide by the artificial
systems, the workers will be provided with a tool in order to make the AI a part of the daily
routine rather than some aspects that basically replaces it and this was stated by Dominic
Wellington (Jarrahi, 2018).
Conclusion
In this essay, the paper describes the usage of the new as well as the modern tools of
the artificial intelligence for evaluating the organizational intelligence which basically
belongs to the different layers of the contemporary societies, from the companies to that of
the educational organizations such as in the universities. Nowadays the most essential
capitals appear to be knowledge and taking in account the universities as the commonplace
for the generation and the transferring the synthesis that is presented for the development of
the methodology of the intelligence in the higher educating institutes. Especially in the
education departments, in case of the institutes, there is a logical institute with the social and
the environments developments new commitments roles in organization.

6INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ORGANIZATIONS
References
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard
business review, 96(1), 108-116.
Elzamly, A., Hussin, B., Abu Naser, S. S., Shibutani, T., & Doheir, M. (2017). Predicting
Critical Cloud Computing Security Issues using Artificial Neural Network (ANNs)
Algorithms in Banking Organizations. International Journal of Information
Technology and Electrical Engineering, 6(2), 40-45.
Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism, 69, S36-
S40.
Intelligence, A. (2019). Artificial intelligence: From expert-only to everywhere. [online]
Deloitte Insights. Available at:
https://www2.deloitte.com/insights/us/en/industry/technology/technology-media-and-
telecom-predictions/cloud-based-artificial-intelligence.html [Accessed 14 Apr. 2019].
Jarrahi, M. H. (2018). Artificial intelligence and the future of work: human-AI symbiosis in
organizational decision making. Business Horizons, 61(4), 577-586.
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.
Kok, K., & Widergren, S. (2016). A society of devices: Integrating intelligent distributed
resources with transactive energy. IEEE Power and Energy Magazine, 14(3), 34-45.
Kolbjørnsrud, V., Amico, R., & Thomas, R. J. (2016). How artificial intelligence will
redefine management. Harvard Business Review, 2.

7INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ORGANIZATIONS
Komninos, N. (2015). Intelligent cities: Variable geometries of spatial intelligence. In From
Intelligent to Smart Cities (pp. 46-62). Routledge.
Li, B. H., Hou, B. C., Yu, W. T., Lu, X. B., & Yang, C. W. (2017). Applications of artificial
intelligence in intelligent manufacturing: a review. Frontiers of Information
Technology & Electronic Engineering, 18(1), 86-96.
Lopes, P. N. (2016). Emotional intelligence in organizations: Bridging research and
practice. Emotion Review, 8(4), 316-321.
Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2017). Reshaping business with
artificial intelligence: Closing the gap between ambition and action. MIT Sloan
Management Review, 59(1).
Wan, C., Chen, G., Fu, Y., Wang, M., Matsuhisa, N., Pan, S., ... & Chen, X. (2018). An
artificial sensory neuron with tactile perceptual learning. Advanced Materials, 30(30),
1801291.