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Contemporary Issues in Digital & Business Technologies

Develop a document outlining a strategy/technology disruptor/ethical or societal impact/security/IT system for each of the topics provided.

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Added on  2023-06-14

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This article discusses the future role of Artificial Intelligence in business functions, especially in manufacturing and production, and the impact of hackers on international businesses. It also highlights the potential risks and benefits of AI and cyber security firms in the digital age.

Contemporary Issues in Digital & Business Technologies

Develop a document outlining a strategy/technology disruptor/ethical or societal impact/security/IT system for each of the topics provided.

   Added on 2023-06-14

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Running head: CONTEMPORARY ISSUES IN DIGITAL & BUSINESS TECHNOLOGIES
CONTEMPORARY ISSUES IN DIGITAL & BUSINESS TECHNOLOGIES
Name of the University
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Author Note
Contemporary Issues in Digital & Business Technologies_1
1CONTEMPORARY ISSUES IN DIGITAL & BUSINESS TECHNOLOGIES
Table of Contents
The Future Role of Artificial Intelligence on a Business Function...........................................2
Impact of Hackers on International Business.............................................................................8
References..................................................................................................................................9
Contemporary Issues in Digital & Business Technologies_2
2CONTEMPORARY ISSUES IN DIGITAL & BUSINESS TECHNOLOGIES
The Future Role of Artificial Intelligence on a Business Function
Artificial intelligence is used extensively in many industries nowadays such as
commercial, retail, banking and gaming. For the business sector, especially in manufacturing
and production, Artificial intelligence is slowly making its way and the perceived future with
this evolving technology looks promising. Machines which are driven by AI are creating new
benefits by offering better machine – human interaction, increasing production efficiencies
and better opportunities (Nilsson 2014). Artificial Intelligence will bring about a new age of
automation by rebuilding the way humans interact and collaborate with machines leading to a
better digital economy.
The manufacturing and production business process has faced a lot of issues such as
overload of information, integration issues, issues in decision making and expertise shortage.
Introduction of AI has facilitated businesses to mitigate many of these issues.
The future role of AI in this business process will be seen in mass production. Robots
and AI will play a big role in business as well as industrial manufacturing. AI will be used to
power robots for automating solutions, minimising human errors and providing quality
services.AI will be used to automate processes as humans are capable of working in 3 shifts
for continuous production, while AI robots can work all day without interruption. In the
future, AI will be used for expanding businesses for meeting the high demand from
customers all around the world. AI will be also used to make the operational environment
safe. Workplace accidents are common in manufacturing plants (Vasant 2015). AI robots can
be used to operate in risky situations of the manufacturing process, so that less human
resource is employed in carrying out dangerous and tedious work. In the future, most of the
boring and repetitive tasks will be operated by Artificial intelligence. With the AI robots
Contemporary Issues in Digital & Business Technologies_3
3CONTEMPORARY ISSUES IN DIGITAL & BUSINESS TECHNOLOGIES
working around, humans can concentrate on more innovative and complex tasks which will
enable more innovation for the business.
Another future role of AI in this process will be that the operating costs of
manufacturing processes will condense (Zhou et al. 2015). Although incorporating AI in the
business processes will need a significant amount of investment, still in the long run, it will
make the entire process much easier to manage.
Figure 1: AI effect on manufacturing and production
(Source: Vasant 2015)
The advancement in industrial automation and AI in the recent years have advanced
considerably. A generation of new robots can be produced due to increase in computing
power, sensor advancement and machine learning development (Michalski et al. 2013). In the
future, AI will be able to adapt to new environments, learn and acknowledge patterns and
analyse meaningful data. Artificial intelligence will be able to improve the manufacturing
process due to their decisions which are data driven, promoting better production outcomes,
improve the effectiveness of the process, reduce the operational costs, simplify scalability and
product development (Bench-Capon, 2014). Communicating with Ai will gradually become
Contemporary Issues in Digital & Business Technologies_4

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