Advanced Analytics for Industry 4.0
eBook - ePub

Advanced Analytics for Industry 4.0

Traditional Industries

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

Advanced Analytics for Industry 4.0

Traditional Industries

About this book

The evolution of modern technology has affected all the industry dimensions. Mother industries play a critical role in providing the precursor materials for other industries, and a small improvement in these can make a big change in others. This book covers the analytics revolution in Industry 4.0 for the mother industries, such as mining, oil and gas, and steel. It focuses on the use of advanced analytics and artificial intelligence to improve the business decisions aimed at increasing the quality and quantity of mother industries' products. It helps to design and implement their digital transformation strategies in these industries.

Key Features:

  • Provides a concise overview of state of the art for mother industries' executives and managers.
  • Highlights and describes critical opportunity areas for industry operations optimization.
  • Explains how to implement advanced data analytics through case studies and examples.
  • Provides approaches and methods to improve data-driven decision-making.
  • Brings experience and learning in digital transformation from adjacent sectors.

This book is aimed at researchers, professionals, and graduate students in data science, manufacturing, automation, and computer engineering.

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Yes, you can access Advanced Analytics for Industry 4.0 by Ali Soofastaei in PDF and/or ePUB format, as well as other popular books in Computer Science & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Acknowledgments
  8. About the Author
  9. List of Contributors
  10. Introduction
  11. Chapter 1 Navigating the Fourth Industrial Revolution: The Advent of Advanced Analytics in Traditional Industries
  12. Chapter 2 Transforming Mining Operations: Harnessing Advanced Analytics for Optimal Decision-Making
  13. Chapter 3 Designing Intelligence: Harnessing Soft Sensors and Advanced Analytics in Petroleum Refining for Industry 4.0
  14. Chapter 4 Harnessing the Convergence of Information Technology and Operational Technology for Digital Transformation: An Integrated Framework for Effective Project Management, Skill Development, Team Coordination, and Collaboration in Manufacturing Industry
  15. Chapter 5 Harnessing Industrial Internet of Things: Enabling Artificial Intelligence and Machine Learning for Optimized Industrial and Manufacturing Processes
  16. Chapter 6 Digitizing the Palate: Exploring Opportunities for Digital Transformation in the Food Industry
  17. Chapter 7 Constructing Tomorrow: Exploring the Future of Construction in the Era of Industry 4.0
  18. Chapter 8 Leveraging Advanced Analytics for Transforming Logistics: The Road to Logistics 4.0
  19. Chapter 9 Revolutionizing Chemical Engineering 4.0: Artificial Intelligence Innovations and Machine Learning
  20. Chapter 10 Harvesting Tomorrow: The Future of Agriculture in Industry 4.0
  21. Chapter 11 Artificial Intelligence in Insurance: Transforming Risk Management and Customer Experience
  22. Index