Delve into industrial digital transformation and learn how to implement modern business strategies powered by digital technologies as well as organization and cultural optimizationKey FeaturesIdentify potential industry disruptors from various business domains and emerging technologiesLeverage existing resources to identify new avenues for generating digital revenueBoost digital transformation with cloud computing, big data, artificial intelligence (AI), and the Internet of Things (IoT)Book DescriptionDigital 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.

• Cover
• Title Page
• Quotes by experts
• Copyright and credits
• About Packt
• Contributors
• Table of Contents
• Preface
• Section 1: The “Why” of Digital Transformation
• Chapter 1: Introducing Digital Transformation
  • Exploring industrial digital transformation
  • Identifying the business drivers for industrial digital transformation
    • Business drivers in the commercial sector
    • Business drivers in the public sector
    • Technology drivers for transformation
  • The evolution of industrial transformation
    • What do crises teach us in terms of transformation opportunities?
    • The first industrial revolution
    • The second industrial revolution
    • The third industrial revolution
    • The fourth industrial revolution – Industry 4.0
  • The impact of industrial digital transformation on business
  • Quantifying business outcomes and shareholder value
    • New digital revenues
    • Productivity gains
    • Social responsibility
  • The phases of the digital transformation journey
  • Summary
  • Questions
• Chapter 2: Transforming the Culture in an Organization
  • Technical requirements
  • Cultural pre-requisites of digital transformation
    • The concept of agile development as a foundation for digital transformation
    • Lean Startup
    • Beyond agile development and Lean Startup
    • Disruptive innovation
    • Design thinking
    • Digital transformation is a team sport
  • The emergence of the CDO and the digital competency
    • The rise of the CDO
    • CIO versus CDO – roles and responsibilities
    • The CDO role in the public sector
    • The CIO as the leader of the digital transformation
    • Independent digital services office
    • Chief innovation officer
  • Reorganization versus strategic transformation
    • Top-down versus bottom-up digital transformation
    • Sustaining the transformation
    • Digital talent
    • Sustaining digital transformation
    • Introducing reverse-mentoring programs
  • Skills and capabilities for digital transformation
    • Leadership principles for digital transformation
    • Soft skills for delivering digital transformation
    • Technical skills for delivering digital transformation
  • Summary
  • Questions
  • Further reading
• Chapter 3: Emerging Technologies to Accelerate Digital Transformation
  • The need for new digital capabilities
    • Digital transformation in manufacturing
    • Digital transformation in consumer products
    • Digital transformation in the public sector
    • Identifying emerging technologies
  • Industry landscape of the emerging technologies
    • Internet of Things
    • AI
    • Big data
    • Robotics
    • AR and VR landscape
    • 3D printing
    • Digital twins
    • Different types of maintenance
    • The digital thread and the supply chain
    • Digital platforms
  • Transformation case studies from consumer industries
    • Peloton
    • Ridesharing
    • Nest
  • Summary
  • Questions
• Chapter 4: Business Drivers for Industrial Digital Transformation
  • Business process
    • Transformation by business process improvement
    • Data-driven process improvement
  • Business model
    • Reinventing the business model
    • To cannibalize or not to cannibalize
  • The state of the industrial sector
    • Oil and gas industry
    • Semiconductor industry
  • Major challenges in industrial companies
    • Lack of expertise
    • Funding
    • Legacy business model
    • Organizational structure
    • Lack of an overall digitization strategy
    • Employee pushback
    • Outdated processes
    • Lack of automation
  • Overcoming the challenges
    • Business model change by Tesla
    • Overcoming challenges using digital technology
    • Overcoming challenges by partnership
  • Summary
  • Questions
• Section 2: The “How” of Digital Transformation
• Chapter 5: Transforming One Industry at a Time
  • Transforming the chemical industry
    • Digitization of process control
    • Digitization for inspection and maintenance
    • Monitoring for demand predictability and optimized delivery
  • Transforming the semiconductor industry
    • Digitization and lights-out manufacturing
    • Digitization for process monitoring and control
    • Big data and digitization for yield management
  • Disrupting industrial manufacturing
    • Flexible manufacturing
    • Design prototyping of mechanical parts
    • Techniques for preventing downtime
    • Value beyond the product
  • Transforming buildings and complexes
    • Facility monitoring
    • Smart buildings
  • Transforming the manufacturing ecosystem
    • Concerns in supply chain management
    • Role of digitization
  • Promoting industrial worker safety
  • Summary
  • Questions
• Chapter 6: Transforming the Public Sector
  • Unique challenges of industrial digital transformation in the public sector
    • Access to new technology
    • Government culture
    • Hiring challenges – process and pay and skill gaps
    • Budgets and technical debt
    • The digital divide
  • Transforming the citizen experience
    • The role of government services
    • What citizens expect from the government today
    • Transformation across the government
    • Smart cities – Lake Nona, Florida
  • Transformation on a national and global scale
    • Airports as the first line of health defense
    • Digital India
  • Summary
  • Questions
• Chapter 7: The Transformation Ecosystem
  • Moving the needle in industrial digital transformation projects
    • Shipping industry
    • Farm to folk
    • Autonomous vehicles
  • Partnerships for transformation
    • What are public-private partnerships?
    • Partner programs
    • Consortiums
  • Partnerships and alliances in digital transformation
    • International Electrotechnical Commission
    • Jedec
    • SEMI
    • Edge AI and Vision Alliance
  • Semiconductor company ecosystems
    • STMicroelectronics ecosystem
    • Nucleo ecosystem
    • STM32Cube ecosystem
    • Partner programs
  • Summary
  • Questions
• Chapter 8: Artificial Intelligence in Digital Transformation
  • The difference between AI, machine learning, and deep learning
    • Artificial intelligence
    • Machine learning
    • Deep learning
    • Choices in ML algorithms
  • Applications of AI in industry
    • AI in factories
    • AI for predictive maintenance
    • AI in quality assurance and inspection
    • AI in image recognition for quality of inspection
    • AI in medical domain image recognition
    • AI for the dynamic optimization of warehouse operations
    • Monetization of data assets for high-value business scenarios
    • ML at the edge
    • AI in the public sector
  • Organizational change influenced by AI
    • Security considerations for industrial digital transformation
    • The rise of DevSecOps
    • AI for cybersecurity
  • Summary
  • Questions
• Chapter 9: Pitfalls to Avoid in the Digital Transformation Journey
  • Indicators of failure
    • Lack of an industrial digital transformation strategy
    • Other indicators
    • Digital transformation failures
  • Failed transformations
    • Public sector failures
    • Private sector failures
    • Three causes of failure
    • Cybersecurity challenges
  • Summary
  • Questions
• Chapter 10: Measuring the Value of Transformation
  • Developing the business case for transformation
    • Defining the problem
    • Defining the expected benefits
    • Estimating the cost of the project
    • Identifying and assessing risks
    • Recommending a solution
    • Describing the implementation approach
    • Calculating the ROI
  • Productivity and efficiency gains
    • The airline industry
  • Digital revenue
    • Electricity value chain
    • Digital airports
    • Airbnb Experiences
  • Social good
    • The United Nations
    • Kenya
    • Microsoft – technology for social impact
    • COVID-19 response
  • Summary
  • Questions
• Chapter 11: The Blueprint for Success
  • How to ensure success in digital transformation
    • Know what you are trying to accomplish
    • Complete the right proof of concept
    • Obtain organizational support and resources
    • Select initial teams and projects wisely
    • Align your culture and hone your team's skills
    • Do what you said you would
    • Measure your progress
    • Scale cautiously
  • The transformation playbook
    • Transforming products and processes using existing technologies
  • Business model canvas
    • Digital transformations to embrace new opportunities
    • Innovation model applied to the public sector
    • Moonshot digital transformations
    • Exploratory (moonshot) project template
    • Innovation process steps for a moonshot project
    • Some lessons from X Development for moonshot projects
  • Sustaining the pace of transformation
    • Delivery of a single product or process
    • Creation of a digital center of excellence
    • Transformation of the entire enterprise
    • Digital transformation at home
  • Summary
  • Questions
• Other Books You May Enjoy
• Index