From Robotic Process Automation to Intelligent Process Automation Emerging Trends

  • Authors

    • Chloe Senior Consultant, PwC, UK Author

    DOI:

    https://doi.org/10.67228/30715725/IJIARE-2018PI9M3T

    Published 04-04-2018

  • Robotic Process Automation (RPA), Intelligent Process Automation (IPA), Artificial Intelligence (AI), Machine Learning (ML), Business Process Automation (BPA), Automation Trends, Digital Transformation, Cognitive Automation, Process Optimization, Future of Work

    Issue

    Vol. 1 No. 1 (2018)

    Section

    Articles

    How to Cite

    [1]
    C. King, “From Robotic Process Automation to Intelligent Process Automation Emerging Trends”, IJIARE, vol. 1, no. 1, pp. 01–08, Apr. 2018, doi: 10.67228/30715725/IJIARE-2018PI9M3T.

  • Abstract

    The landscape of business process automation is undergoing a significant transformation with the integration of artificial intelligence and machine learning into traditional robotic process automation. This paper examines the evolution from RPA to Intelligent Process Automation (IPA), discussing how AI and ML technologies are disrupting and enhancing business processes. We analyze the current trends, applications, and future prospects of IPA, identifying key research challenges and opportunities at the intersection of AI and business process management. Our findings aim to provide insights for organizations considering the adoption of IPA and to stimulate further research in this emerging field.

  • References

    [1] Lacity, M. C., & Willcocks, L. P. (2016). Robotic process automation: The next transformation lever for shared services. London School of Economics.

    [2] Lacity, M. C., Willcocks, L. P., & Craig, A. (2015). Robotic process automation at Telefónica O2. MIS Quarterly Executive, 14(1), 21–35.

    [3] Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.

    [4] Aguirre, S., & Rodriguez, A. (2017). Automation of a business process using robotic process automation (RPA): A case study. Applied Computer Sciences in Engineering.

    [5] Leopold, H., van der Aa, H., & Reijers, H. A. (2018). Identifying Candidate Tasks for Robotic Process Automation in Textual Process Descriptions. BPMDS 2018.

    [6] Issac, R., Muni, R., & Desai, K. (2018). Delineated Analysis of Robotic Process Automation Tools. 2018 International Conference on Advances in Electronics, Computers and Communications (ICAECC). https://doi.org/10.1109/ICAECC.2018.8479511

    [7] Hyun, Y. G., & Lee, J. Y. (2018). Trends Analysis and Future Direction of Business Process Automation, RPA in the Times of Convergence. Journal of Digital Convergence, 16(11), 313–327. https://doi.org/10.14400/JDC.2018.16.11.313

    [8] Kopeć, W., Skibiński, M., Biele, C., Skorupska, K., Tkaczyk, D., Jaskulska, A., Abramczuk, K., Gago, P., & Marasek, K. (2018). Hybrid Approach to Automation, RPA and Machine Learning: A Method for the Human-Centered Design of Software Robots. arXiv:1811.02213.

    [9] Lacity, M. C., & Willcocks, L. P. (2018). Robotic Process and Cognitive Automation: The Next Phase. SB Publishing.

    [10] Willcocks, L., Lacity, M., & Craig, A. (2018). Robotic Process Automation at Telefónica O2. The Outsourcing Unit Working Research Paper Series, London School of Economics.

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