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

机译:评估基于AI的自动化的流程适用性。研究思路与设计

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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)的最新进展已经触发了人工智能(AI)在企业领域中的逐步采用,以解决日益增长的业务流程复杂性。传统的业务流程管理(BPM)方法中仍然缺少的是用于在公司中应用AI时提供决策支持的正式框架和准则。拟议的研究旨在通过新颖的方法扩展现有的BPM框架和指南,以这种方式从大数据,人工智能和机器学习的最新技术发展的角度增加对业务流程的理解。

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