Business Process

Business process management (BPM) aims to optimize organizational workflows, focusing on efficient execution and improved outcomes. Current research emphasizes leveraging AI, particularly large language models (LLMs) and machine learning algorithms, for tasks like process discovery, anomaly detection, and predictive modeling, often incorporating techniques like reinforcement learning and causal inference. This data-driven approach enhances process understanding, facilitates automation, and enables more effective decision-making, impacting both academic research and practical applications across various industries. The field also addresses challenges related to data quality, model explainability, and the complexities of cross-organizational processes.