This book focuses on industrial development, design, implementation, and transformation using technologies such as Artificial Intelligence, Machine Learning, the Internet of Things, Big Data Analysis, and Blockchain. It aims to incorporate complex processes, functions, and various components as one central component of digital systems. Industrial Transformation: Implementation and Essential Components and Processes of Digital Systems discusses the industry transformation aligned with the computerization of manufacturing and the concept of required skills needed to build a new workforce. The book covers the role that AI plays in the management of resource flow and decision-making in the transformation of operations and supply chain management. It presents sustainability efficiency with IoT, Machine Learning, Data Analysis, and Blockchain technologies as it focuses on industrial development, design, and implementation. The book showcases the incorporation of complex processes and functions as one central component of digital systems and explores current trends that are working to accelerate the industrial transformation. Case studies are also included that depict the technologies that are influencing the transition of the fourth industrial revolution such as industrial infrastructure, biodiversity, and production enhancement. This book is aimed at researchers, scholars, and students that require real-time applications and knowledge where the transformation and implementation of digital systems in the manufacturing sector are needed.

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