Editors: Pancham Singh, Avinash Kumar Sharma, Mrignainy Kansal, Amarjeet Prajapati

Application of Artificial Intelligence in Production and Services

eBook: US $69 Special Offer (PDF + Printed Copy): US $125
Printed Copy: US $90
Library License: US $276
ISBN: 979-8-89881-418-2 (Print)
ISBN: 979-8-89881-417-5 (Online)
Year of Publication: 2026
DOI: 10.2174/97988988141751260101

Introduction

Applications of Artificial Intelligence in Industry and Services explores the integration of machine learning, data analytics, intelligent automation, and emerging AI technologies within the context of Industry 4.0, demonstrating their transformative impact on operational efficiency, decision-making, and service innovation.

The book is organized to guide readers from the fundamentals of artificial intelligence to advanced sector-specific applications. Initial chapters introduce core concepts and enabling technologies, including machine learning, deep learning, natural language processing, and computer vision. Subsequent chapters examine AI-driven solutions across diverse domains, including manufacturing, healthcare, finance, supply chain management, smart cities, and service operations. Emerging topics, including explainable AI, ethical and responsible AI practices, human–AI collaboration, and AI-enabled digital twins, are also explored through frameworks, case studies, and performance analyses.

The book offers multidisciplinary perspectives and state-of-the-art methodologies to highlight the opportunities and challenges associated with deploying intelligent systems, while also offering practical insights into the design, implementation, and evaluation of scalable and responsible AI solutions.


Key Features

  • - Discusses the role of AI technologies and their role in shaping Industry 4.0 with detailed discussions on machine learning, deep learning, natural language processing, and computer vision.
  • - Covers emerging topics such as explainable AI, ethical AI, digital twins, and human–AI collaboration. Integration of real-world case studies, frameworks, and performance evaluations.
  • - Multidisciplinary perspectives combining theoretical concepts with practical deployment strategies and applications across manufacturing, healthcare, finance, supply chains, smart cities, and service management.

Target Readership :

The book is primarily intended for researchers, academics, postgraduate students, and industry professionals in artificial intelligence, computer science, information technology, and industrial engineering.

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