Turning Robotic Process Automation onto Intelligent Automation with Machine Learning

被引:5
作者
Kedziora, Damian [1 ]
Hyrynsalmi, Sami [1 ]
机构
[1] LUT Univ, Lahti, Finland
来源
PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON COMMUNITIES AND TECHNOLOGIES-HUMANIZATION OF DIGITAL TECHNOLOGIES, C&T 2023 | 2023年
关键词
Robotic Process Automation; Machine Learning; Intelligent Automation; Industry Report;
D O I
10.1145/3593743.3593746
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Robotic 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.
引用
收藏
页码:1 / 5
页数:5
相关论文
共 18 条
[1]  
[Anonymous], 2018, Reuters
[2]  
Capgemini, 2020, Finnish RPA Market Survey 2020
[3]  
Deloitte, 2018, The robots are ready. Are you? Untapped advantage in your digital workforce
[4]  
Forrester, 2023, The Forrester WaveT: Robotic Process Automation
[5]  
Furlong S., 2021, Overcoming the Challenges of Robotic Process Automation
[6]  
Kedziora Damian, 2021, Journal of Information Technology Teaching Cases, V11, P20, DOI 10.1177/2043886920937022
[7]  
Kedziora D, 2018, Service Offshoring Industry: Systems Engineering Approach to Its Transitional Challenges
[8]  
Kedziora D., Issues Inf. Syst, V22, P21, DOI DOI 10.48009/2_IIS_2021_21-40
[9]  
Kedziora D, 2022, Hawaii Int Con Sys S, P6207
[10]   Beyond the Hype: Robotic Process Automation's Public Perception Over Time [J].
Kregel, I. ;
Koch, J. ;
Plattfaut, R. .
JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE, 2021, 31 (02) :130-150