Abstract:

Business Process Management (BPM) has been an organizational effectiveness mainstay for years, enabling enterprises to rationalize processes, improve decision-making, and overall performance. As Artificial Intelligence (AI), in the form of deep learning, has made its entrance, BPM is evolving profoundly. Deep learning models provide a unique ability to automate tasks, detect anomalies, engage in predictive analysis, and optimize business processes deployment. This paper proposes a framework-based method to conduct a thorough analysis of 34 BPM approaches that employ deep learning techniques and analyze how deep learning will impact automation, efficiency, flexibility, and optimization in BPM.