BA Business Management: Business Intelligence and AI Analysis Report

This report provides a comprehensive overview of business intelligence (BI) and its interplay with artificial intelligence (AI). It explores how BI leverages software and services to transform data into actionable insights, aiding strategic and tactical business decisions. The report highlights the role of BI tools in analyzing data, generating reports, and providing detailed intelligence. Furthermore, it delves into the evolving trends in BI, driven by AI, including automation, data governance, and natural language processing. The main body discusses AI's impact on various aspects of business and human life, referencing multiple research papers and viewpoints on the positive and negative implications of AI. The report concludes by summarizing the key findings, emphasizing the importance of AI in shaping the future of business intelligence and the need for ethical considerations in its implementation. The report also touches on machine learning, job displacement, and the importance of data governance.

Business intelligence

Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
CONCLUSION................................................................................................................................5
REFERENCES................................................................................................................................6

INTRODUCTION
Business intelligence have the major level of leverage on the software and respective services to
have accurate level of transformation of data on to their actions level of insights which is helpful
in informing the organization in more strategic way and tactical level of business decisions. The
tools of BI have the power to analysis different data set to have presentation of analytical
findings in way of reports, summaries, dashboards, graphs, charts and maps to provide users with
detailed intelligence about the state of the business (Abbasi. and El Hanandeh, 2016). there is
more level of trends in business intelligence which is been followed up by artificial intelligence
which change customer expectation and organization perception. This is all about their
automation of human task, data governance and natural language processing.
MAIN BODY
As per the view of Bogale, Wang, and Le, (2018), artificial intelligence has been described as
the developing factor faster than a particular level of expectation along with speeding up at the
exponential way. in addition to that’s it has been the concept which review of origin of AI as the
use of machine learning methods, implication of AI such as sensor technologies, robotic devices,
or decision support systems. On the other hand, the Jiang and et.al., (2016) contradict that’s AI is
affecting the human life in both positive and negative aspect as many researchers have shown
that’s there is constant level of interaction with technology which are chasing the brain of human
beings. In addition to that AI influence the information remembrance, the physical orientation
senses related to as the digital life have the continuous level of arguments with human capacities
and disrupting eons old human activities. AI is the broad transdisciplinary filed with the roots in
logic, statistics, cognitive psychology, decision theory, neuroscience, linguistics, cybernetics, and
computer engineering. Hence there AI will be helpful in transforming the world in later century
as many sectors of society have updating in response to the AI development through the
possibility of harder take-off. On the other hand, the Duan, Edwards and Dwivedi, (2019)
contradict that’s more level of code driven systems have the major level of spread to the world
inhabitants in respective level of ambient information’s and connectivity which previously have
offered the unimagines level of opportunities and their respective threats.
AI have gained more level of control on the earth by proceeding the accomplishment o its goals
by colonizing the galaxy by undertaking very interesting level of aggrievement in science and
engineering. On the other hand, it is not important that’s it is necessary respect human values
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which have inclusion of the value of preventing the various suffrages of less powerful creators.
Whether AI scenario have the entailing of more expectation of suffering in different related
human values. Regardless, the field of the AI ethics along with policy seems to be an significant
space which will make the positive sum level of impacts along many dimensions.
AI is growing is very sophisticated manner in the area of modern science by gaining better level
of understanding which effects the humans lives as it expands.in the additions to that’s Allam
and Dhunny, (2019) states that as the technology will be get increasing refined, the implication
will be more drastic to the human races as been replaced by machines.
As per the view of Zhou and et.al., (2018), the artificial intelligence has been identified more
than 100 level of application over the areas of the recreation, transportation, education,
healthcare and gaming. The aim and objective of Ai is all about the development of three
important objective which are such as employment, ethics and education. AI have become the
smarter, growth in knowledge and expansion of realm level of possibilities for respective society.
Machine learning is considered to be the subset of artificial intelligence as it has been said
that’s all level of machine learning is AI, but all level of AI is not machine learning.
On the other hand, the Bogale, Wang, and Le, (2018), contradict that artificial intelligence will
have the change in world upside down as effecting the workplace. There is need to have the
focus level of automation surrounding the needs of business to have embracement of new level
of technologies which make insurances on implementing the effective AI system to have
enhancing and compliment human intelligence. There is negative impact as the value-based
system to have developing the policies to have adopting of 'moon-shot mentality' to build
inclusive, decentralized intelligent digital networks. There will be more level of compromising
human relevance in the face od programmed intelligence to the world inhabitants in respective
level of ambient information’s and connectivity which previously have been offered.
On the other hand, the Duan, Edwards and Dwivedi, (2019), contradict that’s the many business
individuals have the optimistic view over the AI shift will be resulted in creating more level of
job opportunity as comparative to lost one. This is developing their innovative technologies,
there will be replacing of jobs which have involvement of repetitive or basic problem-solving
tasks, and even go beyond current human capability. AI is successful business intelligence trends
will be able to make decision as comparative to humans in terms for the industrial setting,
customer service roles along with financial institution. There will be automated level of decision
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making which will be responsible for the task which can be such as the approving loans or
identifying the corruption or he financial level of crime.
As pe the view of Allam and Dhunny, (2019), there organization have been benefited for the
increase the level of productivity in terms of greater automations to generate more level of
revenue. As AI will be successful to have fundamental addressing the potential level of pitfalls as
the business which is need to overcome the trust by achieving the effective and successful
implementation as possible benefit. On the other hand, the Zhou and et.al., (2018), contradict
that’s as per the researcher it is clearly predicted the networked level of artificial intelligence
which will be amplify human effectiveness but also have threating the autonomy of human,
agency and capabilities. In additions to that’s human agency are experiencing the loss of control
over the lives as the decision making are the key aspects which is automatically to ceded code
driven as “black box tools”. Data abuse and job loss are the further negative impact as the data
use are the surveillance in complex systems as the values and ethics are not often bakes in the
digital system to have globally network regulation. The author supported the statement as
economic advantages of code-based machine intelligence will continue to disrupt all aspects of
human work. Hence, AI is affecting the human life in both positive and negative aspect as many
researchers have shown that’s there is constant level of interaction with technology which are
chasing the brain of human beings.
CONCLUSION
From the above file, it can be concluded as BI have the power to analysis different data set to
have presentation with detailed intelligence about the state of the business (Abbasi and El
Hanandeh, 2016). AI have the major influence on the information remembrance, the physical
orientation senses related to as the digital life as many sectors of society have sudation in
required response of AI development through the possibility of harder take-off. AI is successful
business intelligence trends which is able to have particularistic decision making as comparative
to humans in terms for the industrial setting, customer service roles along with financial
institution. More over to the issues of Data abuse along with job loss to be part of negative
impact as the data use have the surveillance in complex systems in terms of values and ethics.
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REFERENCES
Books and Journals
Online
Abbasi, M. and El Hanandeh, A., 2016. Forecasting municipal solid waste generation using
artificial intelligence modelling approaches. Waste management, 56. pp.13-22.
Bogale, T.E., Wang, X. and Le, L.B., 2018. Machine intelligence techniques for next-generation
context-aware wireless networks. arXiv preprint arXiv:1801.04223.
Jiang, C and et.al., 2016. Machine learning paradigms for next-generation wireless networks.
IEEE Wireless Communications, 24(2). pp.98-105.
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.
Allam, Z. and Dhunny, Z.A., 2019. On big data, artificial intelligence and smart cities. Cities, 89,
pp.80-91.
Zhou, H and et.al., 2018, April. Emotional chatting machine: Emotional conversation generation
with internal and external memory. In Thirty-Second AAAI Conference on Artificial
Intelligence.
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