Advantages and Disadvantages of artificial intelligence
Advantages and Disadvantages of artificial intelligence (AI)
Advantages of Artificial Intelligence (AI)
Different
voices from the technology sector defend the benefits of Artificial
Intelligence (AI).
The Product Manager of Infinia ML, Andy Chan,
in a TED Talks with more than 40,000 visits on YouTube, breaks down the
different advantages that AI brings to work.
Kai-Fu Lee,
founder of the venture capital fund Sinovation Ventures and a leading figure in
the technological field, also reveals in a TED Talks video with more than
600,000 views, the main benefits of AI.
Taking into
account these two experts, these would be the main advantages of AI applied to
a business sector:
1. Automate
processes: Artificial Intelligence allows robots to develop repetitive, routine
and process optimization tasks in an automatic way and without human
intervention.
5. Reduce
time spent on data analysis: It allows the analysis and exploitation of data
derived from production to be carried out in real time.
6. Predictive Maintenance: It allows maintenance of industrial equipment based on the times and operating conditions of the same, allowing to increase its performance and life cycle.
7. Improved
decision making at both production and business levels: By having more
information in a structured way, it allows each of those responsible to make
decisions in a faster and more efficient way.
8.Control and optimization of production processes and production lines: Through AI, more efficient processes are achieved, free of errors, obtaining greater control over the production lines in the company.
9.Increase
in productivity and quality in production: AI not only increases productivity
at the machinery level, it also increases worker productivity and the quality
of the work they do. Being able to enjoy more information allows them to have a
more focused vision of their work and make better decisions.
Disadvantages of artificial intelligence (AI), risks and barriers
Some voices
believe that Artificial Intelligence (AI) has risks. Especially if the
potential of AI is explored and is not limited only to reproducing human tasks.
Authors such as Stephen Hawking or Bill Gates and different researchers have
expressed their concern about AI.
With regard
to access barriers, these would be some of the most common that can occur in
the business environment:
Data availability
Data is often presented in isolation across
companies or inconsistent and of low quality, presenting a significant challenge
for companies looking to create value from AI at scale. In order to overcome
this barrier, it will be vitally important to draw a clear strategy from the
beginning to be able to extract the AI data in an organized and consistent
way.
Lack of
qualified professionals
Another
obstacle that often occurs at the business level to the adoption of AI is the
shortage of profiles with skills and experience in this type of
implementations. It is crucial in these cases to have professionals who have
already worked on projects of the same size.
The cost
and implementation time of AI projects
The cost of
implementation, both in terms of terms and economics, is a very important
factor when deciding to execute this type of project. Companies that lack
internal skills or are unfamiliar with AI systems should consider outsourcing
both implementation and maintenance in order to obtain successful results from
their project.
In short, AI has become a very important resource for companies since it allows them to be much more competitive and obtain greater benefits, especially in manufacturing and production environments.
It is for all this reason that this type of professional profiles are increasingly in demand in the industrial sector, making it essential to have groups of experts in the field that allow the development of efficient digital transformation strategies.
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