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Assessing Process Suitability for AI-Based Automation. Research Idea and Design

机译:评估基于AI的自动化过程适用性。研究理念与设计

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Recent advancements in Big Data and Machine Learning (ML) have triggered progressive adoption of Artificial Intelligence (AI) in the enterprise domains to address growing business process complexity. What is yet largely missing in the traditional Business Process Management (BPM) approaches, are formal frameworks and guidelines for decision making support when applying AI in a company. Proposed research aims to extend existing BPM frameworks and guidelines by novel methods, this way increasing understanding of business processes in the view of recent technology developments in Big Data, AI and ML.
机译:大数据和机器学习(ML)的最新进展引发了企业域中的人工智能(AI)的逐步采用,以解决日益增长的业务流程复杂性。传统业务流程管理(BPM)方法中尚未缺少的是正式框架和决策支持时的准则,以便在公司中申请AI。拟议的研究旨在通过新的方法扩展现有的BPM框架和指导方针,这方面越来越多地了解业务流程,以近期大数据,AI和ML的技术发展。

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