Next Generation Data Science and Blockchain Technology for Industry 5.0: Concepts and Paradigms - Hardcover

Hardcover

ISBN 10: 1394245181 ISBN 13: 9781394245185

Verlag: Wiley-IEEE Press, 2025

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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.

Details zur Ausgabe

• Verlag: Wiley-IEEE Press
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 1394245181
• ISBN 13: 9781394245185
• Einband: Tapa dura
• Anzahl der Seiten: 496
• Herausgeber: Tyagi Amit Kumar
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar