AI-Driven Project Planning, Decision Intelligence, and Risk Management

Organizations navigate complexity and uncertainty through intelligent project management and business decision-making. By leveraging advanced analytics, machine learning, and real-time data, these technologies enable teams to accurately predict outcomes, optimize resource allocation, and make faster, evidence-based decisions. AI systems learn and adapt, identifying potential risks before they increase and recommending proactive strategies. As a result, businesses can improve efficiency, reduce costly errors, and maintain a competitive edge in rapidly changing environments. AI-Driven Project Planning, Decision Intelligence, and Risk Management explores how AI enhances project planning by improving forecasting, optimizing resources, and supporting data-driven decision-making. It examines how decision intelligence and AI-powered risk management help organizations anticipate uncertainties, reduce risks, and respond to changing conditions. This book covers topics such as digital technology, business intelligence, and data science, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.

Salim Al Daraai stands out as an inspiring figure in the academic and research communities, particularly in the fields of Business and Accounting. Currently a lecturer at Muscat College in the Sultanate of Oman, Salim has dedicated himself to fostering the next generation of leaders and innovators. Salim has pursued excellence in education and research throughout his career. His academic journey led him to earn a Master's degree in Management from the University of Liverpool in 2017, where his dissertation focused on delegation's influence on the success of SMEs in Oman. He is currently a PhD candidate at the University of Plymouth, United Kingdom. Salim's professional journey is marked by significant contributions to the oil and gas industry, where he worked in various capacities, including as a Petroleum Engineer Assistant Workshop Manager, & Engineers Leader at Ray International Oil & Gas. His transition from the industry to academia in 2021 as a lecturer at Muscat College showcases his passion for teaching and mentoring students. Salim's research interests lie in human resources and innovation. He actively involves students and the community in his research, aiming to make a tangible impact through his work. His publications and conference presentations reflect a deep commitment to advancing knowledge in his field, with topics ranging from the automation revolution in recruitment to the synergies between innovation and internationalization in family firms. Beyond his academic and research pursuits, Salim is actively involved in service roles within Muscat College, contributing to exam and training committees and taking leadership roles in student learning platforms. His dedication to student engagement and practical learning experiences form the core of his teaching philosophy.