Predictive Business Process

Predictive business process monitoring (PBPM) uses machine learning to forecast the future behavior of business processes, aiming to optimize resource allocation and improve operational efficiency. Current research emphasizes improving the accuracy and explainability of these predictions, focusing on advanced architectures like transformer models and incorporating semantic information from process logs to enhance prediction accuracy. This field is significant because it bridges the gap between process mining and AI, offering businesses data-driven insights for process enhancement and improvement, while also advancing the understanding of explainable AI within the context of complex business processes.