Nipissing University TMGT 3856: AI-Driven Development Report

This report examines AI-driven development, focusing on its impact on business systems. It delves into the different types of AI, including ANI, AGI, and ASI, and analyzes the current market landscape, including key players like Apple, Amazon, and IBM. The report highlights the benefits of AI, such as increased accuracy and productivity, while also acknowledging the high initial investment costs. It provides market forecasts, estimating significant growth in the AI industry, and discusses the origins of AI technology, tracing its development from the Dartmouth College conference in 1956. The analysis includes an overview of AI-driven development trends and applications, supported by references to relevant research and market data. The report concludes with a summary of the key findings, emphasizing the potential of AI to revolutionize various industries and drive future innovation, particularly in areas like process automation. The assignment was based on Exhibit 1 Gartner Top 10 IT trends for 2019 and the student selected AI-driven development.

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Executive Summary
In this report, the discussion will be made regarding the AI-driven development
norms effectively and efficiently. According to the market forecasting AI market has the
potential to reach $190.61 billion by the year 2025. AI technology stands on three major
types that are ANI, AGI and ASI. Apart from this, AI was first coined in 1956 at a conference
at Dartmouth College in Hanover, New Hampshire. Moreover, AI-driven technologies have
many benefits that include delivering high accuracy in the process, increasing productivity,
lowering workload from the human resource, etc.

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Table of Contents
Introduction................................................................................................................................3
Exhibit 1.....................................................................................................................................4
Types of AI................................................................................................................................4
Top market players and early adopters of the AI.......................................................................6
Origin of AI technology.............................................................................................................6
The global market value of the AI industry...............................................................................7
Conclusion..................................................................................................................................8
References..................................................................................................................................9

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Introduction
AI-driven development incorporates various tools and advance technological
parameters that can be utilized to improve the accuracy and to improve the computerized
decision-making capabilities to ensure highly accurate operations in an effective and efficient
way (Beerbaum & Puaschunder, 2019). In this report, there will be a discussion about the AI
techniques, a model of AI, popular AI model software, its types, early adopters, the business
value of this industry, current market status, advantages and disadvantages of AI-driven
development.

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Exhibit 1
Gather the top 10 strategic technology trends for 2019
February 26, 2020
Contributor:
Trend No. 3: AI-driven development
The trend of AI is evolving in two fundamental aspects. First, associations are
preferring the utilization of AI in their systems for better performance, automation and for
getting highly accurate results in an effective and efficient way possible. Second, the
applications of the AI make process run on automation. The Horseshoe resort can also
incorporate the applications of AI in their hospitality industry. Apart from this, it is also noted
that AI tools and applications primarily use because these tools are resultant in better
productivity, reduce costs, etc (Fountaine, McCarthy & Saleh, 2019). However, in the initial
stage (when an organization plans for implementing AI) market forecast estimates that the
development or installation of an AI system acquires large cost. So, it can be said that
developing AI incurs a major cost in the short run then in the long period it lowers the cost of
another process. Moreover, at the global level, AI is delivering a positive impact on all the
major industries such as pharma industry, steel industry, etc. All these industries are forcing
on automating their process and AI with Machine Learning is helping the R&D department of
these companies to construct an effective program in multiple ways. In the future, AI will be
more development and it will deliver better process automation techniques without bugs and
unidentified errors (Feldstein, 2019).
Types of AI
There are three types of AI which are currently operating in the global market:
 Super Artificial Intelligence (ASI):

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 Narrow Artificial Intelligence (ANI): It is referred to as the narrow or weak AI
system. ANI is marked as the goal-oriented system which is design to perform
singular tasks at a time such as facial recognition system (this ANI system is widely
using in smartphones), voice assistants, speech recognition, etc. ANI systems are
marked as intelligent systems. Since 2009, ANI has experienced various
breakthroughs in various aspects in forms of major errors and bugs but as time passes
the accuracy of the ANI system has also enhanced. Now, ANI systems are widely
used in medicine to diagnose cancer and other extreme diseases with high accuracy
through the replication of human-Esque cognition and reasoning (Frank, et. al., 2019).
The Horseshoe resort can incorporate the norms of ANI for giving better experience
to their guests.
 General Artificial Intelligence (AGI): AGI refers as strong AI systems and AGI stands
on the concept of mimics human intelligence and behaviour with the ability and its
intelligence to identify and solve problems. However, after analysing the market
forecast and results it is observed that still in the year 2020 AGI is facing immense
challenges for achieving strong AI that is identical to the human brain. The lack of
comprehensive knowledge is the primary reason behind the less development of the
AGI. However, Fujitsu-built K is one of the fastest supercomputers. There are various
aspects of this supercomputer such as it took 40 minutes of time to simulate a single
second of neural activity (Gacanin & Wagner, 2019).
 Artificial Superintelligence (ASI):
ASI is the hypothetical AI that does not stand at just mimic and understand human
intelligence but ASI is far better than AGI and ANI. ASI incorporates self-awareness
and surpasses the muse of dystopian science fiction. The concept of ASI evolves akin
to human emotions and experiences. Moreover, many scholars and authors express

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their concern that the strong development of ASI will resultant in a rising
unemployment level at the global level because ASI has the capacity to complete the
work of 100s of people at a time (Garbuio & Lin, 2019).
Top market players and early adopters of the AI
 Apple Inc. with revenue of $248,100billions.
 Amazon with revenue of $177,900billions.
 IBM technologies with revenue of $79,140billions.
 NVDA semiconductors technology with revenue of 1,190billions.
These are the top market players in the field of AI that incorporates the utilization of
ASI with ANI and AGI. These top market players utilize all the major forms of AI and
Machine Learning (ML) for ensuring better productivity of their automating process.
These market players are well aware of the benefits of the AI because the utilization of AI
in their systems is enhancing customer experience in a positive way (Sodhro, Pirbhulal &
de Albuquerque, 2019).
Origin of AI technology
The official field of AI was first found in 1956 at a conference at Dartmouth College
in Hanover, New Hampshire. In this program, the term AI was coined the first time in
history. Furthermore, John McCarthy is behind the development of modern AI and the logic
theorist. He is also known as the father of AI. In 1958, the first AI computer program was
created. After that, as time passes, AI starts evolving from time to time with effective and
efficient efforts. Out of three types of AI, ANI intelligence techniques are successfully
evolving. For example: iPhone’s SIRI is a good example of narrow intelligence. Still,
scientists are putting their efforts into the continuous evolution of the AI system. Although

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the evolution of the AI will still take time as achieving an advance in the ASI is not a simple
program (Zacharov, et. al., 2019).
The global market value of the AI industry
The global market value of the AI industry is standing at $21.46billion in 2018 and
various researchers are estimating that this value will be reached by $190.61billion by the
year 2025 at a CAGR of 36.62%. Thus, it can be concluded that this is the fast-moving
industry and this industry has the potential to encounter every industry. As still in the year
2020, it can be noticed every major industry in the world is getting beneficial with the
utilization of AI in an effective and efficient way. Moreover, the scientists are forcing on the
evolution of ASI technology because this is the highly advanced form of the AI technology
that has the capacity to express human emotions with its strong understandability (Zappone,
Di Renzo, Debbah, Lam & Qian, 2019).

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Conclusion
It is concluded that AI is the advance technology that is started benefitting all the
major industries in the world. Out of the three forms of the AI, ANI is noted has the highly
developed form and even general people are also effectively using the application which are
related to the ANI. Examples of ANI applications are: voice recognition, driving technology,
etc. Apart from this, it is also concluded that the industry of AI is currently standing at
$21.46billion in 2018 but this industry has the potential to reach at $190.61billion by the year
2025.

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References
Beerbaum, D., & Puaschunder, J. M. (2019). A Behavioral Approach to Irrational
Exuberances–An Artificial Intelligence Roboethics Taxonomy. Scientia Moralitas-
International Journal of Multidisciplinary Research, 4(1), 1-30.
Feldstein, S. (2019). The road to digital unfreedom: How artificial intelligence is reshaping
repression. Journal of Democracy, 30(1), 40-52.
Fountaine, T., McCarthy, B., & Saleh, T. (2019). Building the AI-powered
organization. Harvard Business Review, 63-73.
Frank, M. R., Autor, D., Bessen, J. E., Brynjolfsson, E., Cebrian, M., Deming, D. J. & Wang,
D. (2019). Toward understanding the impact of artificial intelligence on
labor. Proceedings of the National Academy of Sciences, 116(14), 6531-6539.
Gacanin, H., & Wagner, M. (2019). Artificial intelligence paradigm for customer experience
management in next-generation networks: Challenges and perspectives. IEEE
Network, 33(2), 188-194.
Garbuio, M., & Lin, N. (2019). Artificial intelligence as a growth engine for health care
startups: Emerging business models. California Management Review, 61(2), 59-83.
Sodhro, A. H., Pirbhulal, S., & de Albuquerque, V. H. C. (2019). Artificial intelligence-
driven mechanism for edge computing-based industrial applications. IEEE
Transactions on Industrial Informatics, 15(7), 4235-4243.
Zacharov, I., Arslanov, R., Gunin, M., Stefonishin, D., Bykov, A., Pavlov, S. & Fedorov, M.
(2019). “Zhores”—Petaflops supercomputer for data-driven modeling, machine

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learning and artificial intelligence installed in Skolkovo Institute of Science and
Technology. Open Engineering, 9(1), 512-520.
Zappone, A., Di Renzo, M., Debbah, M., Lam, T. T., & Qian, X. (2019). Model-aided
wireless artificial intelligence: Embedding expert knowledge in deep neural
networks for wireless system optimization. IEEE Vehicular Technology
Magazine, 14(3), 60-69.