Combining Robotic Process Automation and Machine Learning

  • Authors

    • Dr. Rajesh Kumar Sharma Professor, University of Delhi. India Author
    • Dr. Priya Natarajan Associate Professor, University of Madras, India Author

    DOI:

    https://doi.org/10.67228/30715725/IJIARE-2018PI4K8N

    Published 01-03-2018

  • Robotic Process Automation (RPA), Machine Learning (ML), Intelligent Process Automation (IPA), Automation Technologies, Business Process Optimization, Artificial Intelligence (AI), Digital Transformation, Operational Efficiency, Process Automation Challenges, AI Integration Strategies

    Issue

    Vol. 1 No. 1 (2018)

    Section

    Articles

    How to Cite

    [1]
    R. K. Sharma and P. Natarajan, “Combining Robotic Process Automation and Machine Learning”, IJIARE, vol. 1, no. 1, pp. 01–09, Jan. 2018, doi: 10.67228/30715725/IJIARE-2018PI4K8N.

  • Abstract

    The convergence of Robotic Process Automation (RPA) and Machine Learning (ML) has ushered in a new era of intelligent process automation. RPA excels at automating rule-based, repetitive tasks, while ML introduces the capability to learn from data, enabling systems to adapt and make informed decisions. This paper explores the synergistic potential of combining RPA and ML, examining their individual functionalities, the benefits of their integration, and the challenges organizations may face during implementation. Through a comprehensive analysis, we aim to provide insights into how this fusion can transform business operations, drive innovation, and offer a competitive edge in the digital landscape.

  • References

    [1] Mary C. Lacity, Leslie P. Willcocks, & Andrew Craig. (2015). Robotic process automation at Telefónica O2. MIS Quarterly Executive, 14(1), 21–35.

    [2] Mary C. Lacity & Leslie P. Willcocks. (2016). Robotic process automation: The next transformation lever for shared services. London School of Economics.

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

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

    [5] Erik Brynjolfsson & Andrew McAfee. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton & Company.

    [6] Ajay Agrawal, Joshua Gans, & Avi Goldfarb. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press.

    [7] Thomas H. Davenport & Julia Kirby. (2016). Only Humans Need Apply: Winners and Losers in the Age of Smart Machines. Harper Business.

  • Downloads

Similar Articles

1-10 of 84

You may also start an advanced similarity search for this article.