Intelligent Innovations in Autonomous Business Process Management

Intelligent and autonomous technology in business process management reshapes how organizations operate by combining advanced technologies like AI, machine learning, and robotic process automation. These systems move beyond traditional workflows, enabling processes to adapt in real time, learn from data, and make decisions with minimal human intervention. As businesses face pressure to improve efficiency, reduce costs, and respond quickly to market conditions, autonomous process management offers a transformative solution. By integrating predictive analytics, natural language processing, and self-optimizing workflows, organizations can streamline operations, enhance accuracy, and unlock new levels of scalability in the digital economy. Intelligent Innovations in Autonomous Business Process Management examines the emergence of intelligent and autonomous business processes, focusing on advanced AI techniques. It adopts a holistic perspective that integrates AI with complementary approaches like process mining, decision intelligence, machine learning, and large language models. This book covers topics such as data management, autonomous technology, and risk management, and is a useful resource for engineers, business owners, academicians, researchers, and scientists.

Dr. Houssem Chemingui, is an Assistant Professor in Information Systems at Brest Business School. With a PhD in Computer Science from Paris 1 Panthéon Sorbonne University, his research focuses on streamlining product line configuration processes. He's published extensively on topics like Artificial Intelligence, Data Analytics, and Software Configuration. Beyond academia, he's contributed to development projects and consultancy initiatives, showcasing his commitment to advancing technology and education.