AI in the digital era reshapes industries, public services, and organizational processes through enhanced automation, data analytics, and intelligent decision-making. As businesses and governments adopt AI-driven technologies, sustainable digital transformation emphasizes the need to balance technological advancement with economic, social, and environmental sustainability. Effective governance plays a crucial role by ensuring transparency, accountability, ethical compliance, and responsible data management, while innovation enables the development of AI solutions that improve efficiency, resource utilization, and long-term resilience. Exploring AI for sustainable digital transformation may further highlight the relationship between governance and innovation, demonstrating how organizations can harness the benefits of AI while addressing risks and promoting inclusive, sustainable growth. AI for Sustainable Digital Transformation: Governance and Innovation explores how AI drives sustainable digital transformation by enhancing innovation, improving operational efficiency, and supporting economic, social, and environmental sustainability. It examines the governance frameworks, policies, ethical considerations, and regulatory mechanisms needed to ensure AI technologies are developed and implemented responsibly. This book covers topics such as digital twins, smart marketing, and circular economy, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and scientists.
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