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)
1
Section 1: The "Why" of Digital Transformation
6
Section 2: The "How" of Digital Transformation

Organizational change influenced by AI

For the success of the AI-driven transformation, the change management of the organization and the AI initiative has to be coordinated. For the success of AI, the benefits should be clear to the different stakeholders in the organization. One way is to involve the employees in the early pilots using AI. For instance, an AI-powered digital assistant could be rolled out for health and wellness to the employees. This would allow them to experience it first hand. For knowledge workers, they can be encouraged to improve their AI knowledge at their own pace. Many free resources are available due to the rise of Massive Open Online Courses (MOOCs), as well from companies, such as the following: