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Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration

2022-12-13 13:34:08
Sergey Zeltyn, Segev Shlomov, Avi Yaeli, Alon Oved
arXiv_AI
       
Abstract

Business processes that involve AI-powered automation have been gaining importance and market share in recent years. These business processes combine the characteristics of classical business process management, goal-driven chatbots, conversational recommendation systems, and robotic process automation. In the new context, prescriptive process monitoring demands innovative approaches. Unfortunately, data logs from these new processes are still not available in the public domain. We describe the main challenges in this new domain and introduce a synthesized dataset that is based on an actual use case of intelligent process automation with chatbot orchestration. Using this dataset, we demonstrate crowd-wisdom and goal-driven approaches to prescriptive process monitoring.

Abstract (translated)

URL

https://arxiv.org/abs/2212.06564

PDF

https://arxiv.org/pdf/2212.06564.pdf

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