Industrial Digital Transformation: Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing, Limited
2020
|
| Schlagworte: | |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (426 Seiten) |
| ISBN: | 9781800201965 |
Internformat
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| 505 | 8 | |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? -- 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 650 | 4 | |a Business-Data processing.. | |
| 650 | 4 | |a Computers-Systems Architecture-Distributed Systems & Computing.. | |
| 650 | 4 | |a Computers-Microprocessors | |
| 700 | 1 | |a Dunkin, Ann |e Sonstige |4 oth | |
| 700 | 1 | |a Chowdhary, Mahesh |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| any_adam_object_boolean | |
| author | Nath, Shyam Varan |
| author_facet | Nath, Shyam Varan |
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| author_variant | s v n sv svn |
| building | Verbundindex |
| bvnumber | BV047698068 |
| collection | ZDB-30-PQE |
| 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 -- 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 |
| ctrlnum | (ZDB-30-PQE)EBC6386897 (ZDB-30-PAD)EBC6386897 (ZDB-89-EBL)EBL6386897 (OCoLC)1206401713 (DE-599)BVBBV047698068 |
| dewey-full | 658.054 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.054 |
| dewey-search | 658.054 |
| dewey-sort | 3658.054 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV047698068 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:58:07Z |
| indexdate | 2024-07-10T09:19:26Z |
| institution | BVB |
| isbn | 9781800201965 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033082033 |
| oclc_num | 1206401713 |
| open_access_boolean | |
| physical | 1 Online-Ressource (426 Seiten) |
| psigel | ZDB-30-PQE |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Packt Publishing, Limited |
| record_format | marc |
| spelling | Nath, Shyam Varan Verfasser aut Industrial Digital Transformation Accelerate Digital Transformation with Business Optimization, AI, and Industry 4. 0 Birmingham Packt Publishing, Limited 2020 ©2020 1 Online-Ressource (426 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources 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 Business-Data processing.. Computers-Systems Architecture-Distributed Systems & Computing.. Computers-Microprocessors Dunkin, Ann Sonstige oth Chowdhary, Mahesh Sonstige oth Patel, Nital Sonstige oth Erscheint auch als Druck-Ausgabe Nath, Shyam Varan Industrial Digital Transformation Birmingham : Packt Publishing, Limited,c2020 |
| 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 -- 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 Business-Data processing.. Computers-Systems Architecture-Distributed Systems & Computing.. Computers-Microprocessors |
| 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_exact_search_txtP | 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.. Computers-Systems Architecture-Distributed Systems & Computing.. Computers-Microprocessors |
| topic_facet | Business-Data processing.. Computers-Systems Architecture-Distributed Systems & Computing.. Computers-Microprocessors |
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