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Elsevier

Procedia Computer Science

Volume 181, 2021, Pages 51-58
Procedia Computer Science

Robotic Process Automation and Artificial Intelligence in Industry
4.0 - A Literature review

Author links open overlay panelJorgeRibeiroRuiLimaTiagoEckhardtSara
Paiva
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https://doi.org/10.1016/j.procs.2021.01.104Get rights and content
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Abstract

Taking into account the technological evolution of the last decades
and the proliferation of information systems in society, today we see
the vast majority of services provided by companies and institutions
as digital services. Industry 4.0 is the fourth industrial revolution
where technologies and automation are asserting themselves as major
changes. Robotic Process Automation (RPA) has numerous advantages in
terms of automating organizational and business processes. Allied to
these advantages, the complementary use of Artificial Intelligence
(AI) algorithms and techniques allows to improve the accuracy and
execution of RPA processes in the extraction of information, in the
recognition, classification, forecasting and optimization of
processes. In this context, this paper aims to present a study of the
RPA tools associated with AI that can contribute to the improvement
of the organizational processes associated with Industry 4.0. It
appears that the RPA tools enhance their functionality with the
objectives of AI being extended with the use of Artificial Neural
Network algorithms, Text Mining techniques and Natural Language
Processing techniques for the extraction of information and
consequent process of optimization and of forecasting scenarios in
improving the operational and business processes of organizations.

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Keywords

Robotic Process Automation
Artificial Intelligence
Industry 4.0
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