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Robotic Automation Process – The operating system for the digital enterprise

Author

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  • Anagnoste Sorin

    (The Bucharest University of Economic Studies – Faculty of Business Administration in Foreign Languages, Bucharest, Romania)

Abstract

Robotic Process Automation (RPA) is going into a “maturity market”. The main vendor providers surpassed USD 1 billion in evaluation and the research they are launching these days on the market will change again radically the business landscape. It can be seen already what is coming next to RPA: intelligent optical character recognition (IOCR), chat-bots, machine learning, big data analytics, cognitive platforms, anomaly detection, pattern analysis, voice recognition, data classification and many more. As a result the top vendors developed partnerships with the main leading artificial intelligence providers, such as: IBM Watson, Microsoft Artificial Intelligence, Microsoft Cognitive services, blockchain, Google etc. On the business part, the consulting companies who are implementing the RPA solution are moving from developing Proof-of-Concepts (POCs) and Pilots to helping clients with RAP global roll-outs and developing Centre of Excellences (CoE). As a result, the experiences gathered so far by the author on this kind of projects will be tackled also in this paper. In this article will we will present also some data related to automation for different business areas (eg. Accounts Payable, Accounts Receivable etc) and how an assessment can be done correctly in order to decide if a process can be automatized and, if yes, up to which extent (ie. percent). Moreover, through the case studies we will provide (1) how now the RPA is integrated with Artificial Intelligence and Cloud, (2) how can be scaled in order to face hypes, (3) how can interpret data and (4) what savings these technologies can bring to the organizations. All the aforementioned services made Robotics Process Automation a very powerful tool since a year ago when the author did the last research. A process that was mainly not recommended for automation or was partially automated can be now fully automated with more advantages, such as: money, non-FTE savings and fulfillment time.

Suggested Citation

  • Anagnoste Sorin, 2018. "Robotic Automation Process – The operating system for the digital enterprise," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 54-69, May.
    • Handle: RePEc:vrs:poicbe:v:12:y:2018:i:1:p:54-69:n:6
    DOI: 10.2478/picbe-2018-0007
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    References listed on IDEAS

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    1. Anagnoste Sorin, 2017. "Robotic Automation Process - The next major revolution in terms of back office operations improvement," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 11(1), pages 676-686, July.
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    Cited by:

    1. Abhilasha Singh & Apurva Shaurya, 2021. "Impact of Artificial Intelligence on HR practices in the UAE," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-9, December.
    2. Andrzej Sobczak & Leszek Ziora, 2021. "The Use of Robotic Process Automation (RPA) as an Element of Smart City Implementation: A Case Study of Electricity Billing Document Management at Bydgoszcz City Hall," Energies, MDPI, vol. 14(16), pages 1-22, August.
    3. Andrzej Sobczak, 2021. "Robotic Process Automation implementation, deployment approaches and success factors – an empirical study," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(4), pages 122-147, June.
    4. Stravinskienė Inga & Serafinas Dalius, 2021. "Process Management and Robotic Process Automation: The Insights from Systematic Literature Review," Management of Organizations: Systematic Research, Sciendo, vol. 85(1), pages 87-106, June.
    5. Roşca Vlad I., 2020. "Implications of Lewin’s Field Theory on Social Change," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 617-625, July.

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