AI Factory
eBook - ePub

AI Factory

Theories, Applications and Case Studies

  1. 418 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

AI Factory

Theories, Applications and Case Studies

About this book

This book provides insights into how to approach and utilise data science tools, technologies, and methodologies related to artificial intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI technologies and their interconnections. It includes descriptions of various technology and methodology approaches and their purpose and benefits when developing AI solutions in industrial contexts. In addition, this book summarises experiences from AI technology deployment projects from several industrial sectors.

Features:



  • Presents a compendium of methodologies and technologies in industrial AI and digitalisation.


  • Illustrates the sensor-to-actuation approach showing the complete cycle, which defines and differentiates AI and digitalisation.


  • Covers a broad range of academic and industrial issues within the field of asset management.


  • Discusses the impact of Industry 4.0 in other sectors.


  • Includes a dedicated chapter on real-time case studies.

This book is aimed at researchers and professionals in industrial and software engineering, network security, AI and machine learning (ML), engineering managers, operational and maintenance specialists, asset managers, and digital and AI manufacturing specialists.

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Yes, you can access AI Factory by Ramin Karim,Diego Galar,Uday Kumar in PDF and/or ePUB format, as well as other popular books in Computer Science & Software Development. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. About the Authors
  8. Foreword
  9. Preface
  10. Acknowledgements
  11. Prologue
  12. Chapter 1 Introduction
  13. Chapter 2 Digital Twins
  14. Chapter 3 Hypes and Trends in Industry
  15. Chapter 4 Data Analytics
  16. Chapter 5 Data-Driven Decision-Making
  17. Chapter 6 Fundamental in Artificial Intelligence
  18. Chapter 7 Systems Thinking and Systems Engineering
  19. Chapter 8 Software Engineering
  20. Chapter 9 Distributed Computing
  21. Chapter 10 Case Studies
  22. Chapter 11 AI Factory: A Roadmap for AI Transformation
  23. Chapter 12 In Industrial AI We Believe
  24. Index