Agile AI-Powered Project Management for Modern Delivery Organizations. Este artículo no está disponible.Agile AI-Powered Project Management for Modern Delivery Organizations

Agile AI-powered project management revolutionizes how modern delivery organizations plan, execute, and adapt to business environments. By integrating AI with agile management, teams can leverage data-driven insights, predictive analytics, and automation to enhance decision-making, optimize workflows, and improve project outcomes. AI tools can identify risks, allocate resources, and learn from performance data to refine processes in real time. This combination of agility and intelligence accelerates delivery while empowering organizations to remain flexible, innovative, and resilient. Agile AI-Powered Project Management for Modern Delivery Organizations explores agile project management, business analysis, and AI as a single, end-to-end operating system for digital delivery. It presents cohesive methods that link discovery, delivery, and data and AI-enabled decision-making. This book covers topics such as risk intelligence, skill development, and algorithms, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.

Dr.-Ing. Otmane Azeroual is a leading expert in data science, artificial intelligence, and digital transformation, affiliated with the University of Hagen. He holds a PhD in Computer Science, specializing in databases, information systems, AI, and digitalization. Dr. Azeroual has extensive experience in both academia and industry, leading large-scale AI and data-driven projects across Europe, Canada, USA, Asia, the Middle East, and North Africa. He teaches AI and data science courses, mentoring the next generation of computational and informatics experts. His research spans big data analytics, data quality management, predictive modeling, and the integration of digital technologies into organizational processes. Recognized for bridging theory and practice, Dr. Azeroual applies both quantitative and qualitative methodologies to solve complex problems and drive innovation. Dr. Azeroual serves as an Editorial Board Member of the Journal of Big Data (Springer) and acts as a reviewer for several leading international journals in AI, data science, and computing. He holds senior advisory and leadership roles in research initiatives, fostering interdisciplinary collaboration and advancing digital transformation. His work has been published in top-tier journals, presented at international conferences, and he is a sought-after speaker on AI, data science, and emerging technologies. Committed to advancing global knowledge, Dr. Azeroual continues to shape research, education, and strategic initiatives that impact computing and informatics worldwide.