Robotic Process Automation Implementation for Streamlining Repetitive Administrative Tasks in Synergy with Artificial Intelligence

Trajkovska, Aneta and Veljanovska, Kostandina (2024) Robotic Process Automation Implementation for Streamlining Repetitive Administrative Tasks in Synergy with Artificial Intelligence. In: 16th International conference ICT Innovations.

Text webproc_final_1.pdf - Published Version Download (9MB)

Abstract

Abstract.This paper outlines an innovative approach for automating processes by utilization of the power of diverse technologies and analyzing input data with sophisticated efficiency. The continuous progress of technology opens new avenues for advancement and opportunities, providing a refined and highly accurate alternative for crafting solutions that seamlessly integrate with artificial intelligence, thereby optimizing their performance. From an analytical standpoint, organizations and engineers alike want to automate a lot of repetitive operations and streamline and minimize their workloads. We will show in this article how the Power Automate platform's Robotic Process Automation (RPA) procedures may be used to accomplish this objective. Beyond automation, the integration of AI has yielded remarkable accomplishments, showcasing the boundless potential of this technology. Our results underscore the notion that the power of AI knows no bounds, rather, it is only constrained by human ingenuity. At this point, it is crucial that we utilize these developments to propel more improvements and innovations in our everyday repetitive tasks at work and accomplishment of activities without manual interventions.
Keywords: RPA (Robotic process automation), Azure services, PA (Power Automate), AI (Artificial intelligence), Intelligent systems.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions:	Faculty of Information and Communication Technologies
Depositing User:	Prof. d-r. Kostandina Veljanovska
Date Deposited:	22 Feb 2025 16:02
Last Modified:	22 Feb 2025 16:02
URI:	https://eprints.uklo.edu.mk/id/eprint/10785

Actions (login required)

View Item