Combining Robotic Process Automation with Artificial Intelligence Applications, Terminology, Benefits, and Challenges
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DOI:
https://doi.org/10.67228/30715725/IJIARE-2018PI7D2QPublished 02-04-2018
Robotic Process Automation (RPA), Artificial Intelligence (AI), Intelligent Automation, Business Process Automation, Operational Efficiency, Machine Learning, Natural Language Processing, Cognitive Automation, Process Optimization, Automation Challenges Issue
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ArticlesHow to Cite
[1]M. Anderson, “Combining Robotic Process Automation with Artificial Intelligence Applications, Terminology, Benefits, and Challenges”, IJIARE, vol. 1, no. 1, pp. 01–09, Feb. 2018, doi: 10.67228/30715725/IJIARE-2018PI7D2Q.Abstract
The convergence of Robotic Process Automation (RPA) and Artificial Intelligence (AI) is transforming business operations by automating intricate tasks that require human-like intelligence. This paper explores the applications, terminology, benefits, and challenges associated with the integration of RPA and AI. Through a comprehensive analysis, the study highlights how this synergy enhances operational efficiency, decision-making, and customer experiences. However, it also addresses the challenges, including technological complexities and ethical considerations, that organizations may encounter during implementation. The paper concludes with insights into future trends and the evolving role of intelligent automation in business processes.
References
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[5] Phil Fersht & Hardeep Singh. (2018). Robotic Process Automation: RPA Implementation Guide. HFS Research.
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How to Cite
[1]M. Anderson, “Combining Robotic Process Automation with Artificial Intelligence Applications, Terminology, Benefits, and Challenges”, IJIARE, vol. 1, no. 1, pp. 01–09, Feb. 2018, doi: 10.67228/30715725/IJIARE-2018PI7D2Q.
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