Industrial Digital Transformation :: Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0.
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 exist...
Gespeichert in:
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| Weitere Verfasser: | , , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing, Limited,
2020.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | Transformation by business process improvement. |
| Beschreibung: | 1 online resource (426 pages) |
| ISBN: | 1800201966 9781800201965 |
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| 505 | 0 | |a 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? | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 500 | |a Transformation by business process improvement. | ||
| 520 | |a 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. | ||
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| contents | 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 |
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| discipline | Wirtschaftswissenschaften |
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| indexdate | 2024-11-27T13:30:07Z |
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| spelling | Nath, Shyam Varan. Industrial Digital Transformation : Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0. Birmingham : Packt Publishing, Limited, 2020. 1 online resource (426 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. 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. 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. Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Gestion Informatique. Intelligence artificielle. artificial intelligence. aat COMPUTERS Systems Architecture Distributed Systems & Computing. bisacsh COMPUTERS Microprocessors. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Business Data processing fast Dunkin, Ann. http://id.loc.gov/authorities/names/no2015108355 Chowdhary, Mahesh. Patel, Nital. has work: Industrial Digital Transformation (Text) https://id.oclc.org/worldcat/entity/E39PCGJjfh7fvjTHtJJMGyxvBK https://id.oclc.org/worldcat/ontology/hasWork Print version: Nath, Shyam Varan. Industrial Digital Transformation : Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0. Birmingham : Packt Publishing, Limited, ©2020 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2663692 Volltext |
| spellingShingle | Nath, Shyam Varan Industrial Digital Transformation : Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0. 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 Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Gestion Informatique. Intelligence artificielle. artificial intelligence. aat COMPUTERS Systems Architecture Distributed Systems & Computing. bisacsh COMPUTERS Microprocessors. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Business Data processing fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85018264 http://id.loc.gov/authorities/subjects/sh85008180 |
| title | Industrial Digital Transformation : Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0. |
| title_auth | Industrial Digital Transformation : Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0. |
| title_exact_search | Industrial Digital Transformation : Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0. |
| title_full | Industrial Digital Transformation : Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0. |
| title_fullStr | Industrial Digital Transformation : Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0. |
| title_full_unstemmed | Industrial Digital Transformation : Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0. |
| title_short | Industrial Digital Transformation : |
| title_sort | industrial digital transformation accelerate digital transformation with business optimization ai and industry 4 0 |
| title_sub | Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0. |
| topic | Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Gestion Informatique. Intelligence artificielle. artificial intelligence. aat COMPUTERS Systems Architecture Distributed Systems & Computing. bisacsh COMPUTERS Microprocessors. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Business Data processing fast |
| topic_facet | Business Data processing. Artificial intelligence. Gestion Informatique. Intelligence artificielle. artificial intelligence. COMPUTERS Systems Architecture Distributed Systems & Computing. COMPUTERS Microprocessors. COMPUTERS Intelligence (AI) & Semantics. Business Data processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2663692 |
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