The Strategic Integration of Artificial Intelligence in Business

This report delves into the integration of Artificial Intelligence (AI) within business organizations, highlighting its benefits and strategic importance. It begins with an introduction to AI, emphasizing its role in enhancing efficiency, reducing operational costs, and improving customer experiences through automation and data-driven insights. The discussion section covers the steps for successful AI integration, including familiarization with AI concepts, assessing business value, addressing internal capability gaps, and data preparation. The report also examines the advantages of AI, such as boosting business capabilities, automating communications, personalizing customer experiences, and improving decision-making through big data processing. It references various studies and surveys that showcase the increasing adoption of AI across different industries, with a particular focus on the Australian business landscape. The conclusion summarizes the key findings, emphasizing AI's role in automating processes, solving complex problems, and driving innovation, along with its potential impact on future advancements in various sectors. The report also provides a comprehensive list of references supporting its claims and analysis.

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Integration of Artificial Intelligence in an organization
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1. Introduction
Artificial intelligence generally refers to the ability of a digital computer or computer
controlled robot for performing the tasks that are associated with the business organization in a
very much intelligent way. It is identified that integration of Artificial intelligence within the
business is beneficial as it helps in reducing the operational costs as well as helps in increasing
efficiency by growing as well as improving the experience of the customers (Lu et al., 2018).
The integration of right AI technology will generally help the business organization in saving
both time and money in order to properly automate the routine processes as well as tasks by
enhancing the productivity as well as operational efficiencies of the organization. In addition to
this, it is found that the use of AI helps in avoiding mistakes by providing smart system.
Furthermore, it also helps in improving the revenue of the organization by maximizing as well as
determining the sales opportunities.
2. Discussion
According to Zang et al. (2015), it is necessary for the organization to get familiar with
the concept of AI for integrating it successfully within the business. The techcode accelerator
generally helps in offering wide array of resources with its partnership with the entire
organization. It is very much necessary to take advantage of the online information as well as
resources which are generally available in order to familiarize on the basis of the concepts that
are mainly associated with AI. On the other hand, it is stated by Krittanawong et al. (2017) that
online resources like Cognitive toolkit, TensorFlow, AI resources that can be utilized for getting
familiar with the concepts of AI. In addition to this, it is found that while working within a
company that generally starts with proper overview of various key tech programs as well as
problems, it is very much necessary to determine the issues that is required to be resolved with
the utilization of AI.
According to Jiang et al. (2017), assessing of potential business and financial value of the
possible AI implementation is quite necessary. Prioritization helps generally helps in prioritizing
on the basis of near term visibility in order to understand the financial plan of country and for
this particular step, one needs proper ownership as well as recognition from the various
managers as well as top level executives of the organization. On the other hand, acknowledging
the internal capability gap is quite necessary in order to accomplish the ability of the

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organization in order to achieve the objectives within a proper timeframe. In addition to this, it is
found that if the entire organization is ready from the tech and organizational standpoint then it is
necessary for the organization is to initiate the work of building as well as integrating.
It is opined by Raza and Khosravi (2015) that before the implementation of ML within
the business, one need to properly clean the data for avoiding garbage. There is one of the
important step that generally helps in obtaining proper quality of data from the cross taskforce
for integrating various data sets and for reflecting inconsistencies such that the data must be
accurate as well as rich will all the proper dimension that is generally needed for ML. On the
other hand, it is stated by (Scherer, 2015) that improvement algorithm is considered as one of the
important step for achieving the objectives. However, in the absence of huge volume of data, it is
quite difficult to build much more accurate models. The systems of AI cannot be able to properly
improve for achieving the objectives that are related with computing. In addition to this,
optimization of AI storage helps in ingesting data, workflow as well as modelling that are
generally suggested.
It is stated by Wong and Bressler (2016) that with proper insights as well as automation
that is provided by AI, the workers generally utilize proper tool for making the AI as a part of the
routine rather than replacing it. It is found that some of the employees generally wary of
technology that helps in affecting the job. The companies must remain transparent in proper way
that helps in reflecting how the tech generally works in order to resolve the issues that are
generally associated with the workflow (Chen et al., 2017). While integrating AI system, it is
quite necessary to design the AI system as per proper aspects that further helps in achieving the
research goals for properly understanding the requirements as well as limitations that are related
with software and hardware in order to support the entire research. For achieving the balance, the
companies need to properly build proper bandwidth storage with proper graphics processing unit
as well as networking. Understanding about different kinds of data that are involved within the
project with proper usual security generally helps in safeguarding encryption, anti-malware as
well as virtual private network.
According to Scherer (2015), artificial intelligence is considered as one of important
technologies that is helpful in transforming the world by spurring innovation. It is found that
there are a number of advantages of integrating AI within the business organization in order to

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improve the business. One of the important reason of using AI is that it helps in boosting the
capabilities of the business. Furthermore, it is generally helping the business around the world in
order to unleash the best potential. It is found that it is helping the firms to reach higher. On the
other hand, it is stated by Jiang et al. (2017) that most of the interactions within the business are
generally done with the help of email, media conversations as well as online chat. With the
utilization of AI, the companies can be able to automate many of its communication in order to
properly deal with the enquires. Furthermore, it is found that AI helps in personalizing the
shopping experiences which further helps in enhancing engagement in order to enhance loyalty
among the customers in order to improve the sales of the organization.
It is opined by Zang et al. (2015) that with the integration of AI, it is quite easy to
discover significant information as well as relevant findings while successfully processing the
big data. This generally helps the business in increasing insights which further provides them
major advantage within the entire marketplace. The use of AI within the business organization
helps in increasing the volumes of the customers. The apps that are AI based interact with the
customers in real time and helps in sending personalized data and further helps in assisting the
traveller in providing real time updates related to transportation which is generally situated as
well as estimated during the time of arrival (Krittanawong et al. 2017). In addition to this, it is
found that AI integration is considered to be beneficial as it helps in minimizing errors and helps
in increasing the chances of accuracy with proper degree of decision as a possibility that is
generally applied within number of studies.
According to Raza and Khosravi Theaustralian.com (2019), it is found that the Australian
business is widely adopting AI however two-thirds of the workers are fearing that due to
integration of AI in business they will generally face fear for the replacement of their jobs. The
main reason is to generally worry because 40% of the business decision makers are generally
admitting that in order to make abundant position due to the advancements in AI. It is analyzed
that almost half of the Australian decision makers generally believe that AI within the
organization is generally outpace the productivity of humans in order to do some tasks (Scherer,
2015). The survey that is conducted generally reflects that three quarters of the organization in
Australia are generally planning in order to build a proper team with the help of the AI
professionals as 71% of the senior executives generally sees their future within the business

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strategies that are generally hinging on AI (Scherer, 2015). Moreover, it is found that AI
projects within Australia is far from the humanistic robots and it is generally dependent on the
algorithm that is mainly capable of properly learning as well as constantly improving as well as
automating in order to resolve business related challenges. Furthermore, Infosys found that both
the traditional as well as global competition is generally driving much of the growth and it is
found that the AI is generally developing beyond what the business has generally provided.
3. Conclusion
It can be concluded from the entire paper that the integration of Artificial intelligence
within the business is quite beneficial as it generally helps in improving the business operation. It
is found that the entire paper generally elaborates the steps that are generally needed in order to
integrate AI within the business organization. Furthermore, it is found that the paper also reflects
how Australian business organizations are adopting AI for achieving success. Furthermore, it is
found that the integration of AI in the future will be helpful in automating transportation, solving
the problem of climatic change as well as can play an important role in improving the elderly
care. In addition to this, robots are considered as future of AI that will also be helpful in playing
an important role in business in the future.

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References
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Krittanawong, C., Zhang, H., Wang, Z., Aydar, M., & Kitai, T. (2017). Artificial intelligence in
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Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2018). Brain intelligence: go beyond artificial
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Scherer, M. U. (2015). Regulating artificial intelligence systems: Risks, challenges,
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Theaustralian.com.au. (2019). AI gives workers reason to fear. [online] Available at:
https://www.theaustralian.com.au/business/technology/australian-bosses-embrace-
artificial-intelligence/news-story/336a20c3a1df43d21947d57be780e7d1 [Accessed 11
Apr. 2019].

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Wong, T. Y., & Bressler, N. M. (2016). Artificial intelligence with deep learning technology
looks into diabetic retinopathy screening. Jama, 316(22), 2366-2367.
Zang, Y., Zhang, F., Di, C. A., & Zhu, D. (2015). Advances of flexible pressure sensors toward
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