Intelligent Automation Framework Using AI and RPA: An Introduction

  • Arpita Chakraborty
  • , Siddhartha Bhattacharyya
  • , Debashis De
  • , Mufti Mahmud
  • , Jyoti Sekhar Banerjee*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

12 Scopus citations

Abstract

Business organizations may now automate high-volume processes with the help of Robotic Process Automation (RPA), a rapidly developing automation technology that bridges the gap between Artificial Intelligence (AI) and Business Process Management (BPM). Tools for robotic process automation (RPA) may record the actions of a human user on a computer’s interface, allowing a software robot to do those actions in the user’s place. RPA procedures may be made more precise and efficient by the supplementary use of AI methods and algorithms for process optimization, forecasting, pattern recognition and data extraction. Since RPA is still a newer discipline, there is not a lot of research published on the subject just now. Hence, the purpose of this chapter is to examine how the research fraternity defines RPA and how thoroughly the implementation of RPA, state and trends have been explored in the literature. The authors also do a state-of-the-art literature evaluation of current studies about RPA. The authors have also made contributions to evaluating the benefits and drawbacks of this powerful instrument and making predictions about its potential future uses. This chapter offers many perspectives on cutting-edge technologies like RPA.

Original languageEnglish
Title of host publicationSmart Innovation, Systems and Technologies
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-13
Number of pages13
DOIs
StatePublished - 2023
Externally publishedYes

Publication series

NameSmart Innovation, Systems and Technologies
Volume335
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Artificial intelligence (AI)
  • Automation
  • Business process management (BPM)
  • Industry 4.0
  • Robotic process automation (RPA)

ASJC Scopus subject areas

  • General Decision Sciences
  • General Computer Science

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