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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 9: Pitfalls to Avoid in the Digital Transformation Journey

In Chapter 8, Artificial Intelligence in Digital Transformation, we learned about AI, machine learning, and deep learning. We looked at various applications of AI across the public and the private sector. We looked at AI at the edge for specific use cases. Finally, we looked at the organizational changes that often occur as a result of the adoption of AI.

In this chapter, we will learn how to identify when digital transformations are failing and the possible reasons for their failure. We will look at specific examples from the last few decades and evaluate the failure and success of those transformations. Understanding the causes of previous failures will help us to identify situations that could result in project failure in the future, and correct the project's course to improve the chances of success.

In this chapter, we will cover the following main topics:

  • Indicators of failure
  • Failed transformations...
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