Combining Robotic Process Automation with Artificial Intelligence Applications, Terminology, Benefits, and Challenges
-
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
Section
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
[1] Leslie Willcocks, Mary Lacity, & Andrew Craig. (2015). The IT Function and Robotic Process Automation. London School of Economics.
[2] Mary Lacity & Leslie Willcocks. (2016). Robotic Process Automation: The Next Transformation Lever for Shared Services. The Outsourcing Unit Working Research Paper Series.
[3] Mary Lacity & Leslie Willcocks. (2017). A New Approach to Automating Services. MIT Sloan Management Review.
[4] Mary Lacity, Leslie Willcocks, & Andrew Craig. (2017). Service Automation: Robots and the Future of Work. SB Publishing.
[5] Phil Fersht & Hardeep Singh. (2018). Robotic Process Automation: RPA Implementation Guide. HFS Research.
[6] Tom Davenport & Rajeev Ronanki. (2018). Artificial Intelligence for the Real World. Harvard Business Review.
[7] Thomas H. Davenport & Julia Kirby. (2016). Only Humans Need Apply: Winners and Losers in the Age of Smart Machines. Harper Business.
[8] Kai-Fu Lee. (2018). AI Superpowers: China, Silicon Valley, and the New World Order. Houghton Mifflin Harcourt.
[9] Erik Brynjolfsson & Andrew McAfee. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton & Company.
[10] Mary Lacity, Leslie Willcocks, & John Craig. (2015). Robotic Process Automation at Telefónica O2. MIS Quarterly Executive.
Downloads
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.
Most read articles by the same author(s)
- Michael Anderson, AI-Based Adaptive Motion Planning for Autonomous Robotic Systems , International Journal of Intelligent Automation & Robotics Engineering: Vol. 3 No. 1 (2020)
Similar Articles
- N. Seshagiri, Adaptive Embedded Control Architectures for Intelligent Mechatronic Systems , International Journal of Intelligent Automation & Robotics Engineering: Vol. 5 No. 2 (2022)
- Dr. Hiroshi Tanaka, Dr. Yuki Nakamura, Intelligent Robotic Navigation Using Hybrid Sensor Networks , International Journal of Intelligent Automation & Robotics Engineering: Vol. 2 No. 2 (2019)
- H. N. Mahabala, Predictive AI Models for Intelligent Robot Health Monitoring , International Journal of Intelligent Automation & Robotics Engineering: Vol. 7 No. 2 (2024)
- Zdzisław Pawlak, Jan Łukasiewicz, Intelligent Embedded Vision Systems for Autonomous Machines , International Journal of Intelligent Automation & Robotics Engineering: Vol. 5 No. 2 (2022)
- Jean Bartik, Intelligent Motion Compensation Methods for Industrial Robotic Arms , International Journal of Intelligent Automation & Robotics Engineering: Vol. 4 No. 2 (2021)
- N. Seshagiri, H. N. Mahabala, Intelligent Robotic Material Handling for Smart Warehouses , International Journal of Intelligent Automation & Robotics Engineering: Vol. 7 No. 1 (2024)
- Dr. Arvind Kumar Singh, Dr. Lakshmi Narayanan, Autonomous Robotic Surface Inspection Using Computer Vision , International Journal of Intelligent Automation & Robotics Engineering: Vol. 5 No. 1 (2022)
- John McCarthy, Marvin Minsky, Continual Learning Frameworks for Intelligent Robotic Adaptation , International Journal of Intelligent Automation & Robotics Engineering: Vol. 8 No. 2 (2025)
- David Thompson, Robotic Process Optimization Using Evolutionary Algorithms , International Journal of Intelligent Automation & Robotics Engineering: Vol. 3 No. 1 (2020)
- Dr. James Carter, Dr. Patricia Hall, Intelligent Sensor Fault Diagnosis in Autonomous Robotic Platforms , International Journal of Intelligent Automation & Robotics Engineering: Vol. 5 No. 1 (2022)
You may also start an advanced similarity search for this article.