Challenges and Opportunities in Artificial Intelligence

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AI for engineering management systems
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Data science
data-driven decision models
Deep Learning
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ethical AI governance
Innovative Computer Network and Security
intelligent automation
Machine Learning
Nano-materials
predictive maintenance
robotics applications
workforce digital transformation

Product details

  • ISBN 9781041318927
  • Weight: 260g
  • Dimensions: 210 x 280mm
  • Publication Date: 28 Apr 2026
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

Shweta Mishra, Ph.D. from Banaras Hindu University, Varanasi, is a seasoned editor with 10 years experience and has worked with a range of authors, from emerging voices to established writers, helping to shape compelling narratives and ensure clarity and coherence in their work.

Avneesh Kumar Singh, Ph.D. from Lucknow University in the field of Liquid crystals, has more than 20 years of experience in the teaching and research field.

Pankaj Prajapati is a distinguished researcher and academic in the field of electronics, holding a PhD in Electronics. With over 12 years of experience, he specializes in semiconductor technology and embedded systems, contributing significantly to both academic research and industry applications.