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From Robotic Process Automation to Intelligent Process Automation: Emerging Trends
In this survey, we study how recent advances in machine intelligence are...
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A Conversational Digital Assistant for Intelligent Process Automation
Robotic process automation (RPA) has emerged as the leading approach to ...
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A framework to evaluate the viability of robotic process automation for business process activities
Robotic process automation (RPA) is a technology for centralized automat...
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Business Process Privacy Analysis in Pleak
Pleak is a tool to capture and analyze privacy-enhanced business process...
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Hybrid Approach to Automation, RPA and Machine Learning: a Method for the Human-centered Design of Software Robots
One of the more prominent trends within Industry 4.0 is the drive to emp...
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The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
In a wide array of areas, algorithms are matching and surpassing the per...
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On the Evaluation of Intelligent Process Automation
Intelligent Process Automation (IPA) is emerging as a sub-field of AI to...
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Do's and Don'ts for Human and Digital Worker Integration
Robotic process automation (RPA) and its next evolutionary stage, intelligent process automation, promise to drive improvements in efficiencies and process outcomes. However, how can business leaders evaluate how to integrate intelligent automation into business processes? What is an appropriate division of labor between humans and machines? How should combined human-AI teams be evaluated? For RPA, often the human labor cost and the robotic labor cost are directly compared to make an automation decision. In this position paper, we argue for a broader view that incorporates the potential for multiple levels of autonomy and human involvement, as well as a wider range of metrics beyond productivity when integrating digital workers into a business process
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