AI for Advanced Manufacturing and Industrial Applications



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Éditeur :

Springer


Paru le : 2025-04-01



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Description

This book provides a deep dive into the applications of Artificial Intelligence (AI) in advanced manufacturing and intelligent autonomous systems. Through real-world use cases and cutting-edge insights, it examines how AI, machine learning, IoT, and Industry 5.0 are revolutionizing manufacturing processes from end to end.
Discover how integrating AI technologies with data analytics and IoT can unlock smarter, more efficient, and adaptable manufacturing solutions. Learn how predictive algorithms can foresee equipment failures, optimize inventory in real time, and enable autonomous robots to handle complex tasks, from assembly to logistics. With these innovations, manufacturers can achieve new levels of productivity, drive innovation, and create future-ready business models.
Designed for industry practitioners, decision-makers, and aspiring professionals, this comprehensive guide offers actionable strategies and practical insights for implementing AI in advanced manufacturing. Whether you’re a leader seeking to modernize operations or a graduate student aiming to enter this dynamic field, this book will empower you to navigate and leverage the next frontier of industrial innovation.
Pages
174 pages
Collection
n.c
Parution
2025-04-01
Marque
Springer
EAN papier
9783031860904
EAN PDF
9783031860911

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
5396 Ko
Prix
79,11 €
EAN EPUB
9783031860911

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
9114 Ko
Prix
79,11 €

Bidyut Sarkar is an IT professional specializing in the life science and industrial manufacturing industry. Over his 20-year career at IBM, he has developed a blend of industry experience, a comprehensive understanding of AI and Analytics, and strategic solutioning skills.

Rudrendu Kumar Paul is an AI expert and applied ML industry professional with over a decade of experience across multiple industries. He has a strong background in managing end-to-end machine learning processes at some of the top Fortune 50 companies.

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