Challenges and Opportunities in Artificial Intelligence : Engineering and Management Applications
Book Details
Format
Hardback or Cased Book
ISBN-10
1041318820
ISBN-13
9781041318828
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 28th, 2026
Print length
128 Pages
Weight
420 grams
Ksh 18,700.00
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This book presents a comprehensive exploration of how AI is transforming modern engineering systems and managerial decision-making. It discusses emerging trends, practical applications, and the evolving role of intelligent technologies in solving real-world problems.
Challenges and Opportunities in Artificial Intelligence: Engineering and Management Applications presents a comprehensive exploration of how Artifical Intelligence (AI) is transforming modern engineering systems and managerial decision-making. The book discusses emerging trends, practical applications, and the evolving role of intelligent technologies in solving real-world problems. This book examines key domains where AI is reshaping processes, performance, and innovation. It covers foundational AI concepts, machine learning techniques, intelligent automation, data-driven decision models, and advanced computational methods relevant to engineering disciplines. The chapters highlight AI-enabled solutions in areas such as predictive maintenance, smart manufacturing, robotics, optimization, and sustainable engineering. In management applications, the book addresses AI-supported analytics, decision support systems, workflow automation, and strategic planning powered by big data. It also discusses challenges including ethical concerns, algorithmic transparency, workforce readiness, and cybersecurity risks. Through research-based insights and practical case studies, the book illustrates how AI can enhance efficiency, accuracy, and innovation while also emphasizing the need for responsible and well-governed AI adoption. This book is intended for researchers, academicians, industry professionals, engineers, and management practitioners seeking to understand the practical integration of AI in real systems. It is also valuable for postgraduate students and policymakers interested in emerging AI technologies, their opportunities, and the strategic challenges associated with their deployment.
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