Industrial Digital Transformation: Accelerate digital transformation with business optimization, AI, and Industry 4.0
À propos de cet e-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.
What you will learnGet up to speed with digital transformation and its important aspectsExplore the skills that are needed to execute the transformationFocus on the concepts of Digital Thread and Digital TwinUnderstand how to leverage the ecosystem for successful transformationGet to grips with various case studies spanning industries in both private and public sectorsDiscover how to execute transformation at a global scaleFind out how AI delivers value in the transformation journeyWho this book is forThis book is for IT leaders, digital strategy leaders, line-of-business leaders, solution architects, and IT business partners looking for digital transformation opportunities within their organizations. Professionals from service and management consulting firms will also find this book useful. Basic knowledge of enterprise IT and some intermediate knowledge of identifying digital revenue streams or internal transformation opportunities are required to get started with this book.
Notes et avis
À propos de l'auteur
Shyam is an Enterprise Cloud Architect at Oracle. He is the author of the book on IIoT titled 'Architecting the Industrial Internet.' His expertise involves Industrial IoT, Cloud Computing, AI/ML, and Blockchain. He has worked on driving Digital Transformation at several large companies. Shyam is part of the Program Committee of IoTSWC.
Ann Dunkin, P.E. is a Chief Technology Officer at Dell Technologies. She has over a decade of experience as a Chief Information Officer, including as the CIO of the US EPA in the Obama Administration. She has led digital transformations in large organizations and has written and spoken extensively on the topics of technology modernization, organizational transformation and digital services. She serves on a several non-profit and for-profit boards and has received numerous awards for her contributions to government digital transformation.
Mahesh Chowdhary is a Fellow and Director of Strategic Platforms & IoT Excellence Center at STMicroelectronics. He has developed multiple reference designs for mobile phones, wearable consumer devices, and industrial applications that utilize Motion MEMS sensors, Environmental MEMS sensors, and MEMS microphones. Founder of Acculeon: Conceptualized and designed Industry's 1st real-time automobile driver monitoring system. This effort included developing the core technology that enables the vehicle-based hardware and software system to work in consonance with the application server. He is also an International speaker on Machine Learning, IoT, Smart Sensors. Adjunct Professor at IIT, Delhi.
Nital Patel, Ph.D., is a Principal Engineer responsible for advanced manufacturing systems research and development at Intel, Corporation. He has spent his career contributing to digital transformation activities and projects across the manufacturing spectrum as well as in the areas of enabling agility in the enterprise supply chain leveraging data fusion, machine learning and AI. He is the lead inventor on 11 patents, has published over 50 journal and conference papers and serves on the Editorial Board of the IEEE Transactions on Semiconductor Manufacturing. In the past he has been an Adjunct Professor at the Arizona State University and has been awarded the Mahboob Khan Award from the Semiconductor Research Corporation for mentoring university research students.
