Journal of Computing and Natural Science

Intelligent Process Automation of Industries Using Artificial Intelligence and Machine Learning

Journal of Computing and Natural Science

Received On : 10 November 2020

Revised On : 12 January 2021

Accepted On : 20 January 2021

Published On : 05 April 2021

Volume 01, Issue 02

Pages : 045-056


The application of Disruptive Technologies (DT), using Artificial Intelligence (AI) and Machine Learning (ML), is still a challenge for many industries in the modern age. Quick transformation of business’ models and enhancement of consumer expectation are fundamental elements of Intelligent Process Automation (IPA) to boosting delivery and production of goods and services. In this research contribution, we will evaluate IPAs and their influence in the management of industries. In that case, major elements of AI and ML will be discussed comprehensively. Areas of application and analysis will be discussed in relation to digital industries. The results in this contribution will be used as a recommend action plan for industries to enhance their management and optimization when it comes to AI and ML.


Intelligent Process Automation (IPA), Artificial Intelligence (AI), Machine Learning (ML)

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Author(s) thanks to Dr.Jian'an Sun for this research completion and Data validation support.


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Cite this article

Filippo Fabrocini and Jian'an Sun, “Intelligent Process Automation of Industries Using Artificial Intelligence and Machine Learning”, Journal of Computing and Natural Science, vol.1, no.2, pp. 045-056, April 2021. doi: 10.53759/181X/JCNS202101009.


© 2021 Filippo Fabrocini and Jian'an Sun. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.