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Industrial Digital Transformation

You're reading from  Industrial Digital Transformation

Product type Book
Published in Nov 2020
Publisher Packt
ISBN-13 9781800207677
Pages 426 pages
Edition 1st Edition
Languages
Authors (4):
Shyam Varan Nath Shyam Varan Nath
Profile icon Shyam Varan Nath
Ann Dunkin Ann Dunkin
Profile icon Ann Dunkin
Mahesh Chowdhary Mahesh Chowdhary
Profile icon Mahesh Chowdhary
Nital Patel Nital Patel
Profile icon Nital Patel
View More author details

Table of Contents (15) Chapters

Preface 1. Section 1: The "Why" of Digital Transformation
2. Chapter 1: Introducing Digital Transformation 3. Chapter 2: Transforming the Culture in an Organization 4. Chapter 3: Emerging Technologies to Accelerate Digital Transformation 5. Chapter 4: Business Drivers for Industrial Digital Transformation 6. Section 2: The "How" of Digital Transformation
7. Chapter 5: Transforming One Industry at a Time 8. Chapter 6: Transforming the Public Sector 9. Chapter 7: The Transformation Ecosystem 10. Chapter 8: Artificial Intelligence in Digital Transformation 11. Chapter 9: Pitfalls to Avoid in the Digital Transformation Journey 12. Chapter 10: Measuring the Value of Transformation 13. Chapter 11: The Blueprint for Success 14. Other Books You May Enjoy

Applications of AI in industry

Let's explore how AI is being applied in areas such as manufacturing facilities, quality control and inspection, and predictive maintenance.

AI in factories

AI can enable the digital transformation of manufacturing and factories in many ways. Applications of AI increase productivity in the manufacturing process, improve the quality of products, optimize the use of warehouses, and allow predictive maintenance for many functions in the factory. A sensor is the first key enabling component for AI implementation in a factory. Data can also be available from Programmable Logic Controllers (PLCs), SCADA systems that monitor and control processes/equipment, quality monitoring systems, alarm systems, and even Enterprise Resource Planning (ERP) systems. There is a wide array of sensors available to collect data at every stage of production in the factory. These sensors can measure many important parameters, such as temperature, vibration, acoustic...

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