A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches)
The paper focuses on how AI and ML are transforming business process management by driving both business enhancement and improvement. It highlights two key stages: process enhancement, which involves analyzing and enriching process models, and process improvement, which redesigns processes using data-driven insights. By reviewing academic literature from 2010 to 2024, the study offers valuable perspectives for researchers and practitioners on leveraging AI/ML to optimize organizational processes and explore future opportunities in the field.
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Predictive Business Process Management (Process Enhancement and Process Improvement Approaches)
The Table provides a comprehensive summary of AI-based methods for process enhancement and improvement. It categorizes different approaches, such as clustering, decision trees, and neural networks (DNN), and aligns them with specific case studies and goals like quality, cost, time, and flexibility. The focus is on leveraging AI techniques to analyze, monitor, and optimize business processes, showcasing their application in real-world scenarios and highlighting their effectiveness in achieving operational efficiency.
