论文标题

使用聊天机器人编排的智能过程自动化中的规定性过程监视

Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration

论文作者

Zeltyn, Sergey, Shlomov, Segev, Yaeli, Avi, Oved, Alon

论文摘要

近年来,涉及AI驱动自动化的业务流程已变得越来越重要和市场份额。这些业务流程结合了经典业务流程管理,目标驱动聊天机器人,对话推荐系统和机器人过程自动化的特征。在新的背景下,规定过程监视需要创新的方法。不幸的是,这些新过程中的数据日志仍在公共领域中仍无法使用。我们描述了这个新领域中的主要挑战,并引入了一个合成的数据集,该数据集基于智能过程自动化的实际用例,并带有聊天机器人编排。使用此数据集,我们演示了人群 - 界界和目标驱动的方法来监视的方法。

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.

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