Book Image

Industrial Digital Transformation

By : Shyam Varan Nath, Ann Dunkin, Mahesh Chowdhary, Nital Patel
Book Image

Industrial Digital Transformation

By: Shyam Varan Nath, Ann Dunkin, Mahesh Chowdhary, Nital Patel

Overview of this book

Digital transformation requires the ability to identify opportunities across industries and apply the right technologies and tools to achieve results. This book is divided into two parts with the first covering what digital transformation is and why it is important. The second part focuses on how digital transformation works. After an introduction to digital transformation, you will explore the transformation journey in logical steps and understand how to build business cases and create productivity benefit statements. Next, you’ll delve into advanced topics relating to overcoming various challenges. Later, the book will take you through case studies in both private and public sector organizations. You’ll explore private sector organizations such as industrial and hi-tech manufacturing in detail and get to grips with public sector organizations by learning how transformation can be achieved on a global scale and how the resident experience can be improved. In addition to this, you will understand the role of artificial intelligence, machine learning and deep learning in digital transformation. Finally, you’ll discover how to create a playbook that can ensure success in digital transformation. By the end of this book, you’ll be well-versed with industrial digital transformation and be able to apply your skills in the real world.
Table of Contents (15 chapters)
Section 1: The "Why" of Digital Transformation
Section 2: The "How" of Digital Transformation

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...