Artificial Intelligence is rapidly reshaping the landscapes of education and business, driving innovation and redefining operational norms. The latest volume of the Advanced Series in Management brings together interdisciplinary perspectives to explore how AI technologies--from predictive analytics and automation, to adaptive learning systems--are enabling smarter decision-making, personalised experiences, and enhanced efficiency. At the same time, it critically examines the ethical, infrastructural, and skill-based challenges that accompany this digital shift, offering a balanced view of both promise and complexity.
Bridging theory and practice, AI-Driven Transformation in Education and Business presents empirical research, real-world case studies, and policy insights that illuminate the evolving role of AI in organisational and educational contexts. It contributes to global conversations around digital transformation and sustainability, aligning with key UN Sustainable Development Goals such as Quality Education and Responsible Management. Ideal for scholars, students, and practitioners, this volume offers a comprehensive guide to navigating the AI-driven future, especially in a post-pandemic world where hybrid learning and intelligent business models are becoming the norm.
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