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Industrial Digital Transformation

You're reading from   Industrial Digital Transformation Accelerate digital transformation with business optimization, AI, and Industry 4.0

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781800207677
Length 426 pages
Edition 1st Edition
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Authors (4):
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Nital Patel Nital Patel
Author Profile Icon Nital Patel
Nital Patel
Ann Dunkin Ann Dunkin
Author Profile Icon Ann Dunkin
Ann Dunkin
Mahesh Chowdhary Mahesh Chowdhary
Author Profile Icon Mahesh Chowdhary
Mahesh Chowdhary
Shyam Varan Nath Shyam Varan Nath
Author Profile Icon Shyam Varan Nath
Shyam Varan Nath
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: The "Why" of Digital Transformation
2. Chapter 1: Introducing Digital Transformation FREE CHAPTER 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

Chapter 8: Artificial Intelligence in Digital Transformation

In the last chapter, we learned about the ecosystem approach to industrial digital transformation. We saw that ecosystems of partners and other stakeholders is key to moving the needle for transformative initiatives. As a result, a number of large companies often drive these initiatives across groups of large and small companies, consortiums, government agencies, and academia, with the goal of accelerating the transformation across industry segments.

In this chapter, we will learn how Artificial Intelligence (AI) is the key to industrial digital transformation initiatives. We will investigate different aspects of AI and how it drives business outcomes when applied to relevant data. We will cover the following topics in this chapter:

  • The difference between AI, machine learning, and deep learning
  • Applications of AI in industry
  • Organization change influenced by AI
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