Process Aware Information System

Process-aware information systems (PAIS) aim to improve business processes by leveraging data analysis and automation. Current research focuses on automating process model generation from diverse sources like event logs and natural language text, often employing machine learning techniques like data-driven named entity recognition and relation extraction, and developing online decision mining methods for continuous process monitoring and optimization. This field is significant for improving business efficiency and compliance, with ongoing work addressing challenges such as handling high-volume, unstructured data and ensuring the trustworthiness and explainability of AI-driven process enhancements.