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Next Generation Data Science and Blockchain Technology for Industry 5.0 (eBook)

Concepts and Paradigms

Amit Kumar Tyagi (Herausgeber)

eBook Download: PDF
2025
497 Seiten
Wiley-IEEE Press (Verlag)
978-1-394-24520-8 (ISBN)

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A groundbreaking view of the industrial models of the future

Industry 5.0 is an increasingly widespread term for the coming business paradigm, which will combine humans, robotics, and smart technology to create the industrial processes of the future. Technological innovations like smart factories, networked processes, data science, blockchain, and more will be combined to revolutionize industry and drive innovation at an unprecedented pace.

Next Generation Data Science and Blockchain Technology for Industry 5.0 offers an overview of these most important questions, their early answers, and the most promising paths forward. Incorporating practical case studies grounded in real-world data, the book emphasizes a hands-on approach combining numerous analytical tools. With a broad view of the historical role of industrial revolutions and a cutting-edge grasp of the key technologies, this book is an indispensable window into the future of business.

Next Generation Data Science and Blockchain Technology for Industry 5.0 readers will also find:

  • Incorporation of tools including statistical analysis, machine learning, graph analysis, and more
  • Detailed treatment of cutting-edge technologies like additive manufacture (3D printing), edge computing, and many others
  • Self-assessment tools to facilitate understanding

Next Generation Data Science and Blockchain Technology for Industry 5.0 is ideal for academics, researchers, and advanced students in computer science and computer technology, as well as professionals and researchers working in data science or any other area of industrial technology.

Amit Kumar Tyagi, PhD, is Assistant Professor in the Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India. He has published widely on blockchain, deep learning, artificial intelligence, and other cutting-edge technologies and their industrial applications.


A groundbreaking view of the industrial models of the future Industry 5.0 is an increasingly widespread term for the coming business paradigm, which will combine humans, robotics, and smart technology to create the industrial processes of the future. Technological innovations like smart factories, networked processes, data science, blockchain, and more will be combined to revolutionize industry and drive innovation at an unprecedented pace. Next Generation Data Science and Blockchain Technology for Industry 5.0 offers an overview of these most important questions, their early answers, and the most promising paths forward. Incorporating practical case studies grounded in real-world data, the book emphasizes a hands-on approach combining numerous analytical tools. With a broad view of the historical role of industrial revolutions and a cutting-edge grasp of the key technologies, this book is an indispensable window into the future of business. Next Generation Data Science and Blockchain Technology for Industry 5.0 readers will also find: Incorporation of tools including statistical analysis, machine learning, graph analysis, and more Detailed treatment of cutting-edge technologies like additive manufacture (3D printing), edge computing, and many others Self-assessment tools to facilitate understanding Next Generation Data Science and Blockchain Technology for Industry 5.0 is ideal for academics, researchers, and advanced students in computer science and computer technology, as well as professionals and researchers working in data science or any other area of industrial technology.
Erscheint lt. Verlag 11.7.2025
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Schlagworte 3D Printing • Big Data • Blockchain • Education 4.0 • Healthcare 4.0 • Industry 5.0 • Information Security • internet of things • Process Optimization • Smart environment • Smart factories • Smart Technology • Society 5.0 • Supply Chain Management
ISBN-10 1-394-24520-3 / 1394245203
ISBN-13 978-1-394-24520-8 / 9781394245208
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