Turning Robotic Process Automation onto Intelligent Automation with Machine Learning

dc.contributor.authorKedziora, Damian
dc.contributor.authorHyrynsalmi, Sami
dc.date.accessioned2023-05-31T20:35:03Z
dc.date.available2023-05-31T20:35:03Z
dc.date.issued2023
dc.description.abstractRobotic Process Automation (RPA) technology has in the past few years become a ground-breaking trend that revolutionised services all around the globe. Substituting human workforce with software robots augmented with intelligent elements, RPA is being seen as a key enabler for many commercial, as well as non-commercial organisations to reorganise, re-engineer, and streamline their approach to operational excellence, at the same time achieving impressive results in employee empowerment and digital transformation. This industry experience case discusses the learning from the successful deployment of RPA technology blended together with machine learning (ML), in order to achieve intelligent automation (IA) of invoice processing delivered by a Finnish consultancy company. The work calls for further academic research to develop and enhance understanding of this emerging technology, from the perspective of organisational change and employee empowerment.en
dc.identifier.doi10.1145/3593743.3593746
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4701
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 11th International Conference on Communities and Technologies
dc.subjectRobotic Process Automation
dc.subjectMachine Learning
dc.subjectIntelligent Automation
dc.subjectIndustry Report
dc.titleTurning Robotic Process Automation onto Intelligent Automation with Machine Learningen
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York, NY, USA
gi.citation.startPage1–5
gi.citations.count7
gi.citations.elementJulia Siderska, Lili Aunimo, Thomas Süße, John von Stamm, Damian Kedziora, Suraya Nabilah Binti Mohd Aini (2023): Towards Intelligent Automation (IA): Literature Review on the Evolution of Robotic Process Automation (RPA), its Challenges, and Future Trends, In: Engineering Management in Production and Services 4(15), doi:10.2478/emj-2023-0030
gi.citations.elementDamian Kedziora, Lili Aunimo, Heli Kortesalmi (2024): Between No-Code, Low-Code, Custom-Code, and AI. Hyperautomation Strategies at Nordic Enterprises, In: Lecture Notes in Networks and Systems, doi:10.1007/978-3-031-66594-3_18
gi.citations.elementDina Darwish (2024): Introduction to Hyperautomation, In: Advances in Business Information Systems and Analytics, doi:10.4018/979-8-3693-3354-9.ch001
gi.citations.elementJyothi A P, Anirudh Shankar, Ashwath Narayan JR, Humayun Maniyar, Nagavi Sr, Shreeganesh Ambarkhane (2024): Robotic Process Automation: In-Depth Analysis of Advanced Automation Techniques and Technologies, In: 2024 IEEE International Conference on Contemporary Computing and Communications (InC4), doi:10.1109/inc460750.2024.10649336
gi.citations.elementLukas Laakmann, Seyyid A. Ciftci, Christian Janiesch (2024): A Nascent Taxonomy of Machine Learning in Intelligent Robotic Process Automation, In: Lecture Notes in Business Information Processing, doi:10.1007/978-3-031-70418-5_19
gi.citations.elementJulia Siderska, Suraya Nabilah Binti Mohd Aini, Damian Kedziora (2024): Complementing Robotic Process Automation with Generative Artificial Intelligence (ChatGPT), Case of Robocorp, In: Lecture Notes in Networks and Systems, doi:10.1007/978-3-031-53960-2_4
gi.citations.elementTobias Redlich, Jorge Cesar Mariscal-Melgar, Manuel Moritz, Daniele Ingrassia (2024): AI Meets Distributed Manufacturing: Wie KI die Verbreitung digitaler Fertigung fördert, In: Zeitschrift für wirtschaftlichen Fabrikbetrieb 10(119), doi:10.1515/zwf-2024-1144
gi.conference.locationLahti, Finland

Files