Integrating AI with Robotic Process Automation (RPA): Advancing Intelligent Automation Systems

The quick progress of technology has greatly influenced multiple industries, with Artificial Intelligence (AI) and Robotic Process Automation (RPA) leading the way in this transformation. When combined, these technologies can improve business procedures, increase productivity, and lower operational expenses in various sectors. The primary goal of this task is to examine how AI technologies can be incorporated into current RPA frameworks to promote the development of intelligent automation systems. These improved systems are created to not just complete specific tasks but also to autonomously make decisions and flexibly optimize operations. This research aims to link AI theoretical models with their practical uses in RPA, highlighting recent advancements and predicting future trends in AI-driven RPA solutions.

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Publication Details

Published
2024-11-05
DOI
https://doi.org/10.1109/apcc62576.2024.10768019
Citations
1
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
0.35
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article

Integrating AI with Robotic Process Automation (RPA): Advancing Intelligent Automation Systems

N. Z. Jhanjhi, Farzeen Ashfaq, Syeda Mariam Muzammal, Muhammad Tayyab et al.
1 citations
Robotic Process Automation Applications
0.35
article

Integrating AI with Robotic Process Automation (RPA): Advancing Intelligent Automation Systems

N. Z. Jhanjhi, Farzeen Ashfaq, Syeda Mariam Muzammal, Muhammad Tayyab, Sayan Kumar Ray, Chua Jingxuan
article en
1 citations

Abstract

The quick progress of technology has greatly influenced multiple industries, with Artificial Intelligence (AI) and Robotic Process Automation (RPA) leading the way in this transformation. When combined, these technologies can improve business procedures, increase productivity, and lower operational expenses in various sectors. The primary goal of this task is to examine how AI technologies can be incorporated into current RPA frameworks to promote the development of intelligent automation systems. These improved systems are created to not just complete specific tasks but also to autonomously make decisions and flexibly optimize operations. This research aims to link AI theoretical models with their practical uses in RPA, highlighting recent advancements and predicting future trends in AI-driven RPA solutions.

Taylor's University (MY)
Openalex Percentile: Top 33%
Robotic Process Automation Applications
0.35
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Integrating AI with Robotic Process Automation (RPA): Advancing Intelligent Automation Systems — N. Z. Jhanjhi, Farzeen Ashfaq, et al. · (2024) | TGRS Research Map | TGRS