This book delivers actionable insights into how smart systems and automated frameworks accelerate sustainable development goals. It provides validated industrial case studies and peer-reviewed technical solutions bridging the gap between digital architectures and environmental or operational engineering requirements. Blending advanced management with smart engineering, the text takes an integrated, interdisciplinary approach. It uniquely focuses on the dual impact of AI, demonstrating how technologies enhance operational efficiency while meeting strict global environmental metrics. Covering smart systems, sustainable frameworks, and AI-driven academic excellence, it serves as an essential resource for academics, engineers, and policymakers to enhance R&D, university curricula, and strategic decision-making.