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Industrial Digital Transformation 상세페이지

Industrial Digital Transformation

Accelerate digital transformation with business optimization, AI, and Industry 4.0

  • 관심 0
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21,000원
판매가
21,000원
출간 정보
  • 2020.10.30 전자책 출간
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  • PDF
  • 426 쪽
  • 7.5MB
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  • PC뷰어
  • PAPER
ISBN
9781800201965
ECN
-
Industrial Digital Transformation

작품 정보

Delve into industrial digital transformation and learn how to implement modern business strategies powered by digital technologies as well as organization and cultural optimization

▶Book Description
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 Learn
⦁Get up to speed with digital transformation and its important aspects
⦁Explore the skills that are needed to execute the transformation
⦁Focus on the concepts of Digital Thread and Digital Twin
⦁Understand how to leverage the ecosystem for successful transformation
⦁Get to grips with various case studies spanning industries in both private and public sectors
⦁Discover how to execute transformation at a global scale
⦁Find out how AI delivers value in the transformation journey

▶Key Features
⦁Identify potential industry disruptors from various business domains and emerging technologies
⦁Leverage existing resources to identify new avenues for generating digital revenue
⦁Boost digital transformation with cloud computing, big data, artificial intelligence (AI), and the Internet of Things (IoT)

▶Who This Book Is For
This 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.

▶What this book covers
⦁ Chapter 1, Introducing Digital Transformation, describes the concept of industrial digital transformation across different industry sectors and explains the importance of transformation to different internal and external stakeholders. It will help develop the reader’s understanding of the economic and productivity gains that can be achieved through digital transformation.

⦁ Chapter 2, Transforming the Culture in an Organization, covers the importance of the culture of change as a company positions itself organizationally for the transformation.

⦁ Chapter 3, Emerging Technologies to Accelerate Digital Transformation, explains the current and emerging digital technologies that facilitate and accelerate industrial digital transformation.

⦁ Chapter 4, Business Drivers for Industrial Digital Transformation, describes the changes to business processes and business models that are required for a successful digital transformation, as well as the right set of digital technologies.

⦁ Chapter 5, Transforming One Industry at a Time, looks at a selection of industrial digital transformation case studies, including the chemical, semiconductor, manufacturing, and construction industries.

⦁ Chapter 6, Transforming the Public Sector, examines case studies from different levels of the public sector, including federal, state, and local governments. These transformation scenarios are rarely driven by profitability but instead focus on the citizen experience and social good.

⦁ Chapter 7, The Transformation Ecosystem, describes the complete ecosystem that is needed to make a large-scale impact on an entire industry or sector.

⦁ Chapter 8, Artificial Intelligence in Digital Transformation, considers the different paradigms of learning, including artificial intelligence, machine learning, and deep learning, and how these are being applied to accelerate the process of digital transformation.

⦁ Chapter 9, Pitfalls to Avoid in the Digital Transformation Journey, describes how digital transformation projects can go wrong, and how a lack of transformation may impact the long-term success of an enterprise. The chapter will help readers learn how to avoid such shortcomings.

⦁ Chapter 10, Measuring the Value of Transformation, showcases how to develop a business case, quantify the business outcomes, and develop the ROI of a transformation initiative.

⦁ Chapter 11, The Blueprint for Success, teaches the reader how to ensure the success of their digital transformation project and sustain it in the long term. This chapter provides tools and templates for developing detailed plans for transformation in different settings.

작가 소개

▶About the Author
- Shyam Varan Nath
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
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
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
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.

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