Predictive Process Monitoring

Predictive Process Monitoring (PPM) leverages historical process data to forecast the future behavior of ongoing processes, aiming to improve operational efficiency and decision-making. Current research emphasizes enhancing prediction accuracy through advanced machine learning models, including graph neural networks and transformers, often incorporating domain-specific knowledge and addressing the need for explainable AI (XAI) to build trust and transparency. This field is significant for its potential to optimize resource allocation, predict potential bottlenecks, and improve the overall performance of complex business processes across various domains, from finance to healthcare.