Characteristics and Significance of Artificial Intelligence

This document discusses the characteristics and significance of artificial intelligence in business. It explores the opportunities and challenges posed by AI and how it can improve organizational performance and strategic position.

Business Information System
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Contents
INTRODUCTION...........................................................................................................................3
TASK 1............................................................................................................................................3
TASK 2............................................................................................................................................5
TASK 3............................................................................................................................................7
CONCLUSION..............................................................................................................................11
REFERENCES..............................................................................................................................12
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INTRODUCTION
Business information system is basically set of interrelated procedures by using IT
infrastructure in enterprise to generate and disseminate desired result or outcome. The system is
designed to support decision making where each people associated with the organization process
in order to achieve objective. In another way, BIS aim is to support operations, management and
decision making process
The report will describe about the characteristics, significance of artificial intelligence. It
will evaluate the organizational opportunities for increasing the demand of business across the
world. The documentation will discuss the overview of business and analyse the BIS solution to
measure the performance of enterprise. It help for maintaining and controlling the strategic
position of business in marketplace. Furthermore, it will demonstrate the different strategies for
identifying trust and responsibility, fairness, bias and inclusion, socio-economic and
environmental impact. At last, documentation will describe the business strategy and application
of principle that always contributing in the enterprise improvement.
TASK 1
Discuss about the characteristics and significance of artificial intelligence.
Artificial intelligence is based on the modern concept that has an ability to design smart
machine in order to develop self-learning software application. AI refer to the simulation of
human intelligence in machine that are programmed to think about the humans and mimic their
action (Akerkar, 2019). It may be applied to machine that can easily exhibits traits associated
with human mind in term of problem-solving, learning.
Characteristics of AI
It is one of factor that influencing the process and outcome of technology that transfer in
the nature of technology. In this context AI and move towards the different framework to assist
decision maker which automatically optimising the formulation of their procedures or policies
(Moreira Nascimento and et.al., 2018). In context of business, AI is consider as a process of
identifying a minimal set of innovative feature from provide large data sets.
Artificial Neural networks: it comprise with interconnection between set of multiple
computing node at consecutive layers. In order to calculate the optimal weights of connection
and deduced in learning phase by adjusting through sharing strategy (Akerkar, 2019). It provide
the facility where each node calculate the overall weight of value propagated to their input. It
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should fix some criteria for purpose of computed value to feed and forward to the next level. It
should consider the convolutional neural network that received input with learned spatial filter to
identify the convolutional layer. It is robustness of recognise the feature effectively and approach
to identify the image recognition application.
Distribute data: in the modern era, It has been faced the difficult problem to resolve
through AI, consider as a perfect tool or platform. The organization can use the AI to provide the
security and also comparing with other outside network data to log inside enterprise
(Brynjolfsson and Mcafee, 2017). Network can be automated the process while detecting attack
through AI. Therefore, there are many employee simply could not wrap their arm for data
distribution.
Eliminate Dull tasks: Nowadays, there are lot of task performed with single time to
minimise the time but it has increased the chances of dull tasks. These are not considerable as
valuable. Unfortunately, it can be used the machine learning, AI which begin to address the
human interaction technologies. Afterwards, it automatically eliminate the dull task within
processing.
Significance of Artificial intelligence
In today’s world, the large amount of data that is generated by machine and human
because ability to interpret, absorb and make complex decision. Artificial intelligence forms on
the basis of computer learning and their future of complex decision-making. It might be easier to
state that what part of modern society and show the importance of AI in daily lives, enterprise
operation and society (Duan, Edwards and Dwivedi, 2019). The intelligence machine is
influencing the nearly every facet of lives to improve the efficiency of human being.
In context of business, Artificial intelligence plays important role to deliver the
competitive advantage, save time and money. AI is modern technology that help for alerting
industries from finance, transport and manufacturing with new items, processes and their
capabilities.
TASK 2
Evaluate the organizational opportunities and challenges posed by Artificial intelligence.
In context EuroTransport Ltd., Artificial intelligence is the toast of every tech-powered
business, establishment which are taking AI to integrate with multitude of transformative
opportunities (Moreira Nascimento and et.al., 2018). However, it provide the friendly
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environment to adapt AI within task management. As per survey, it has found that 6% of
enterprises are having smooth ride through AI. The critical challenges in implementing an AI
solution to improve overall EuroTransport Ltd. business capabilities.
Artificial intelligence is a type of modern technology for which even curious about the
both challenges and opportunities within enterprises.
AI implementing in the enterprise faces various challenges
Computing is not that much advanced
Machine learning and deep learning are consider as an important technique that seems
most beneficial require large series of calculation. It has been expertise in the discussion for long
time and always came out with enough implementation (Klumpp, 2018). On the other hand,
cloud computing and parallel processing that have created the hope to implementation of modern
techniques. In order to increase the complex algorithms.
Fewer employee support
AI techniques does not require to proper use case in global market. In this way, no further
enterprise would be interested to invest money in AI project. It clearly means that few enterprise
showing interest in put money into deployment of AI related products (Moreira Nascimento and
et.al., 2018). Moreover, there are few people who can understand the business vision of machine
progress in global world.
Creating trust
The problem or issue with AI is that when it look like black box. People do not aware
about the concept and not feel comfortable. For instance, enterprise implement the algorithms
that are based on the linear conceptual thing. It is not easy to explain everything to reach accurate
input as well as output (Moreira Nascimento and et.al., 2018).
Hence, AI has not been able to create the trust among staff member. It seems to find out
the solution or problem.
Data security and privacy
In most of cases, AI application is based on the large massive volume of data or
information to learn about the decision-making. Machine learning is depending on data which
often sensitive as well as personal (Moreira Nascimento and et.al., 2018). The modern system
learn from the information which improve themselves. This step is taken after taking a look at
increasing awareness among customer.
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Information Scarcity
Enterprises have access more data in present scenario but database which applicable to
implement the concept of artificial intelligence application. However, AI is consider as most
powerful machine those are trained on the learning (Moreira Nascimento and et.al., 2018).
EuroTransport Ltd. are investing a design methodologies and always focused on creating AI
model.
Opportunities for AI in business
The opportunities are associated with artificial intelligence when businesses recruit the
skilled developer that have own ability and capability.
AI in marketing
EuroTransport Ltd. is increasing its overall business performance in term of marketing
budget and focus on the high- level marketing strategies. Moreover, the enterprise want to learn
about the various marketing activities and deliver to the better return on investment
(Ransbotham, Kiron and Reeves, 2017). In some situation, it require to monitor and analyse the
data across multiple distributed channels. On the other hand, artificial intelligence enable
platform such as Acquisio that provide facility to manage the marketing activities.
The machine learning help for analysing the live campaign information through algorithm. It
has been suggested to distribute of marketing operation and achieve desirable outcome.
Track competitors by using AI
It is a crucial to keep track of potential competitors in global marketplace. Unfortunately,
the business owner of Euro transport corporation that are unable to review the competition level
because of busy schedule. Afterwards, AI comes in market and use Transport Company for
purpose of competitive analysis (Skilton and Hovsepian, 2017). They can track the alternative
competitors by using social media, applications and websites. Moreover, it provide the better
EuroTransport Ltd. owner with close look into multiple changes within marketing planning such
as price changes and PR activities.
Facilitates big data
In currently, marketing environment adapt the big data technique that consider as one of
important factor in business growth and development. There are various advantage of Big data
that mainly comes with opportunities to improve business capabilities. AI facilitates for
collecting data through online as well as offline medium (Tredinnick, 2017). In regards of
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opportunity, AI provide the better service to EuroTransport Ltd. For using different tools or
platform. In order to manufacture the better quality of product and service in marketplace.
TASK 3
Overview of business, BIS solution, performance objective and strategic position.
EuroTransport is based on the transportation firm that mainly producing the good and
services to customer. Currently, The organization use BIS solution as management information
system that always support for collecting large amount of information or data. By using MIS, it
has established the connection with supply management to monitor or analyse regular activities.
The primary reason is to select MIS because it is based on the strategic value for
implementing an effective tactics to resolve issue or problem (Zhang and et.al., 2018). In this
way, it help for EuroTransport Corporation that will improve their decision making abilities and
perform execution in business operations.
Sometimes, it involves the different phases to implement the concept of MIS such as
planning, execution, monitoring, controlling and tracking the supply chain process. Therefore, it
will create value and save both time as well as money.
Strategies to address trust and responsibility.
EuroTransport firm has used the AI technique that supports for different manner. It is an
effective concept of change the business operation and function. In order to adapt the use AI for
enhancing overall business performance as well as efficiency. Furthermore, AI is associated with
the business information system so that it can easily tackle the business problems or issues. It
provide the better opportunities for building trust and manage responsibilities. Moreover, the
organization will identify the solution for travelling, able to know about the current availability
of vehicles in product transformation (Skilton and Hovsepian, 2017).. At that time, manager is
taking responsibility for managing transportation services in step by step manner. Afterwards, AI
will provide the automated service so that EuroTransport Corporation increase their efficiency
whereas involves large number of staff member to establish the communication with client and
give a proper confirmation. Furthermore, it involved the strategies to address, trust as well as
responsibility within organization.
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Uniquely sharing data
It is to be consider as important strategy that is mainly tracking the information of supply
chain. In order to share detail of customers. It provide the facilities to customer where they can
identify the unique code which automatically generated by AI technique (Ransbotham, Kiron
and Reeves, 2017). Therefore, existing client can easily access the information related supply,
order delivery.
Enhanced the transparency
It is another important strategy to identify the current business situation or condition
whereas focused on the enhanced transparency. Before selling the product when providing the
better full information about product and supply chain. Customer needs to know everything
about the overall business activities (Skilton and Hovsepian, 2017). Afterwards, it can be
implementing the concept of automate AI which being transformation of product as well as
service. In order to share the item with transparency and build trust among client. EuroTransport
Corporation provide option to track the order in supply chain and always maintain transparency.
It may ensure the feasibility for customer to access information or data effectively.
Strategies to address fairness, bias and inclusion.
Currently, AI has been rapidly growing in global market place which provide the better
opportunities for “EuroTransport” to improve their processes. In context of fairness or bias,
artificial intelligence reshape the management system when identifying the current enterprise
situation at workplace (Skilton and Hovsepian, 2017). AI cannot be bias which has used to make
better life changing decision and also reduced the bias, increases fairness within
“EuroTransport”. It can be identified the different strategies to address fairness, bias and
inclusion within organization.
The lack of diversity, fairness are increasing multiple problem so that it assume artificial
intelligence solution such as ability to recognize the expression. In order to prevent the diversity
as well s inclusion strategy at workplace.
Awareness is program
It is an important strategy that has drawn such a strong response strikes many as
progression. AI is the fastest growing technology that needs to aware about its capabilities so that
it can easily desirable goal and objective. it is possible when “EuroTransport” firm uses automate
Ai technique which easily identifying the issues or problem.
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The workplace issue around the equity, fairness which are becoming important part of
“EuroTransport” to handle multiple task in proper manner. AI technique collected a large amount
of data which provide the equal opportunities of employee to use them simultaneously. Each and
every staff members use technique in their system and perform various tasks (Ransbotham,
Kiron and Reeves, 2017). On the other hand, this strategy will support for skilled people where
they can enough knowledge about modern technology. In this way, they can use them to
maintain business operation effectively and efficiently.
Going beyond training
“EuroTransport” company do to promote anti-bias culture or environment. Certainly
things like creation of task forces that deals with diversity and inclusion. Sometimes, it cause
people to aware about the decision whether to interact with colleagues (Ransbotham, Kiron and
Reeves, 2017). Whether “EuroTransport” provide the opportunities for employee where they can
participate in AI technology training session whereas give opportunities for every staff members.
In this way, it can easily improve their own skill and knowledge.
Strategies to address socio-economic and environmental impact.
AI techniques to be essential part of technology revolution which help for resolving the
complex situation in both socio-economic as well as environment. These are considerations the
significant economic, environment that impact on the “EuroTransport” corporation through AI
technique. At workplace, there are many employees argue with manager in regards of
automation. They were assume that AI develop the chances of unemployment and will
completely change lifestyle of people (Moreira Nascimento and et.al., 2018). Moreover, social
inequality which easily amplifying gape between low income generation. There are different
strategies which help for providing the impact of socio-economic and environmental.
Equality and inequality
It is true that AI technology afford more and more people opportunities. In order to
increase the chances where providing the chances to do work in AI modern technology. If some
people have a knowledge which become gold chance to acquire that opportunities.
“EuroTransport” always focused on the giving equal chances of their staff members so that they
can adapt equality strategy for improving the current environment or culture at workplace. By
using equality/ inequality strategy to address current impact of environment through AI.
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During transformation process within firm, it could grow the economic inequality even
more and take away the abilities from social class (Moreira Nascimento and et.al., 2018). It
enable to concern about the growth and development for improving the workplace culture or
environment. Sometimes, AI has completely changed the socio-economic because it provide the
facilities and service on the basis of customer lifestyle. In order to increase the business
production and sales in global marketplace.
Describe the business strategy and analysis of how application of principle that will contribute in
business strategy.
An enterprise strategy can be defined as key indicator which mainly identify the overall
business performance as well as efficiency. It provide the facilities to measure significant result
or outcome. Artificial intelligence is consider as enough strategy which exploiting the growth
opportunities for “EuroTransport”. The organization will achieve the real time success because it
always emphasis with the interdependent strategies. Initially, it consider as dimension of analysis
through algorithm behind AI driven system (Skilton and Hovsepian, 2017). For instance, It will
require the information or data in regards recent development of data generation, processing.
Afterwards, it can easily achieve the successful AI application and their principle contribute in
the business strategy.
The integration of AI technology with business strategy results in the reshaping the
overall business operation and function. Thus, it explored the influence of AI on the enterprise
for identifying the reports of company, innovative trends, and annual documentation (Moreira
Nascimento and et.al., 2018).
“EuroTransport” corporation must consider the innovative strategy to adapt the
automation concept for enhancing overall business capabilities.
Considering the AI capability to process a large amount of unstructured data in
“EuroTransport”. It is not surprise that automate principle effects on the decision-making. AI is
always carried out the innovation to transformation of business processes. In order to improve
the efficiency across wide range of fields. As looking into transportation firm which always
focused on their logistics supply chain. Therefore, they always use the automate AI to provide
the accurate information to client (Skilton and Hovsepian, 2017). In order to secure or protect the
order details, product information in proper manner. Furthermore, AL associate with innovation
enterprise strategy that can quickly process past data. It is able to provide the real time
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information for resource allocation as well as management. In “EuroTransport”, manager is
responsible to consider strategy to allocate task each employee in effective manner. On regular
basis, it will monitor or analyse current progress of business through automate AI principles.
CONCLUSION
From above discussion, it concluded that Business information system is consider as set of
interrelated procedures by using IT infrastructure. In order to generate and disseminate desired
result or outcome. The system is designed to support decision making where each people
associated with the organization process in order to achieve objective.
It has summarised about the characteristics, significance of artificial intelligence. It can be
evaluating the organizational opportunities for increasing the demand of business across the
world. Afterwards, it has covered the overview of business and analyse the BIS solution to
measure the performance of enterprise. It help for maintaining and controlling the strategic
position of business in marketplace. Furthermore, it can be demonstrated the different strategies
for identifying trust and responsibility, fairness, bias and inclusion, socio-economic and
environmental impact. However, it can be used the business strategy and application of principle
that always contributing in the enterprise improvement.
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REFERENCES
Book and Journals
Akerkar, R., 2019. Employing AI in Business. In Artificial Intelligence for Business (pp. 63-74).
Springer, Cham.
Akerkar, R., 2019. Introduction to artificial intelligence. In Artificial Intelligence for
Business (pp. 1-18). Springer, Cham.
Brynjolfsson, E. and Mcafee, A.N.D.R.E.W., 2017. The business of artificial
intelligence. Harvard Business Review. pp.1-20.
Duan, Y., Edwards, J.S. and Dwivedi, Y.K., 2019. Artificial intelligence for decision making in
the era of Big Data–evolution, challenges and research agenda. International Journal of
Information Management. 48. pp.63-71.
Klumpp, M., 2018. Automation and artificial intelligence in business logistics systems: human
reactions and collaboration requirements. International Journal of Logistics Research
and Applications. 21(3). pp.224-242.
Moreira Nascimento, A. and et.al., 2018. A Literature Analysis of Research on Artificial
Intelligence in Management Information System (MIS).
Ransbotham, S., Kiron, D and Reeves, M., 2017. Reshaping business with artificial intelligence:
Closing the gap between ambition and action. MIT Sloan Management Review. 59(1).
Skilton, M. and Hovsepian, F., 2017. The 4th industrial revolution: Responding to the impact of
artificial intelligence on business. Springer.
Tredinnick, L., 2017. Artificial intelligence and professional roles. Business Information Review.
34(1). pp.37-41.
Zhang, J. and et.al., 2018. Business Values/Implications of AI and Machine Learning. Data and
Information Management. 2(3). pp.121-129.
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