AI Technologies for Information Systems and Management Science

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AI Technologies for Information Systems and Management Science is written by Lalit Garg and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031950178 (ISBN 10) and 9783031950179 (ISBN 13).

This book brings together leading experts, academics, and industry professionals to explore how AI is transforming decision-making, data analytics, operations, and strategic management across diverse sectors. Dive into the cutting-edge world of artificial intelligence with AI Technologies for Information Systems and Management Science, a comprehensive book is featuring peer-reviewed research from the 7th International Conference on Information Systems and Management Science (ISMS 2024). Covering topics such as intelligent systems, machine learning integration, AI-driven process optimization, and ethical considerations, this proceedings book offers a rich blend of theoretical insights and practical applications. Whether you're a researcher, practitioner, or student, you’ll find valuable perspectives on how emerging AI technologies are reshaping the foundations of modern information systems and management practices. Gain inspiration from real-world case studies, stay ahead with the latest innovations, and deepen your understanding of AI’s role in driving smarter, more adaptive organizations. With contributions from global thought leaders, this book is an essential resource for anyone interested in the future of intelligent business and digital transformation. Embrace the power of AI—empowering tomorrow’s systems, today.