Skip to main content
main-content
Top

About this book

This book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems and Big Data Analytics under the Industry 4.0 initiative where embedded computing devices, smart objects and the physical environment interact with each other to reach intended goals. A broad range of Industries including automotive, aerospace, healthcare, semiconductors, energy, transportation, mining, construction, and industrial automation could harness the power of Industrial AI to gain insights into the invisible relationship of the operation conditions and further use that insight to optimize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and predict the remains useful life and further to optimize maintenance tasks to avoid disruption to operations.

Table of Contents

Frontmatter

Chapter 1. Introduction: The Development and Application of AI Technology

Abstract
Despite a lack of successes to date, industry will soon become a new frontier for AI applications and business opportunities.
Jay Lee

Chapter 2. Why Do We Need Industrial AI?

Abstract
An introduction to the systematic discipline of Industrial AI and its transformational approach to problem solving in industry.
Jay Lee

Chapter 3. Definition and Meaning of Industrial AI

Abstract
An overview of the origins, meaning, and values of Industrial AI followed by a detailed description of its technical elements, integrative architecture, and algorithms.
Jay Lee

Chapter 4. Killer Applications of Industrial AI

Abstract
In industry, the applications that help companies to continuously improve their work will become the “killer applications” of Industrial AI.
Jay Lee

Chapter 5. How to Establish Industrial AI Technology and Capability

Abstract
A guide to assessment and training methods for the intelligent transformation of industrial enterprises including data sets from open data challenges.
Jay Lee

Chapter 6. Conclusion

Abstract
Upon reading this book, a call to action to apply the relevant knowledge of Industrial AI across industry.
Jay Lee
Additional information

Premium Partner

    Image Credits