The Digital Playbook A Practitioner’s Guide to Smart, Connected Products and Solutions with AIoT /
The Digital Playbook A Practitioner’s Guide to Smart, Connected Products and Solutions with AIoT / [electronic resource] :
edited by Dirk Slama, Tanja Rückert, Sebastian Thrun, Ulrich Homann, Heiner Lasi.
- 1st ed. 2023.
- XIX, 416 p. 320 illus., 310 illus. in color. online resource.
1. AIoT 101 -- 2. Artificial Intelligence 101 -- 3. Data 101 -- 4. Digital Twin 101 -- 5. Internet of Things 101 -- 6. Hardware 101 -- 7. Digital OEM -- 8. Digital Equipment Operator -- 9. Platforms -- 10. Hybrid Models -- 11. Scalability -- 12. Business Model Design -- 13. Product/Solution Design -- 14. Co-Creation and Sourcing Intro -- 15. Rollout and Go-to-Market -- 16. Operations -- 17. Organization -- 18. Development Life-cycle Perspective -- 19.AIoT Design -- 20. AIoT Pipelines -- 21. AIoT Pipelines & Feature-driven Development -- 22. Holistic AIoT DevOps -- 23. Managing Different Speeds of Development -- 24. AIoT.exe -- 25. AIoT Product/Solution Design -- 26. Agile AIoT -- 27. Holistic AIoT DevOps -- 28. Trust & Security -- 29. Reliability & Resilience -- 30. Quality Management -- 31. AIoT in a Global, High-volume Manufacturing Network -- 32. Drone-based facade inspection -- 33. Predictive Maintenance for Hydraulic Components -- 34. BaseABC: Addressing the AIoT Long Tail in I4.0 -- Appendix.
Open Access
This open access book is a practitioner`s guide to smart, connected products and solutions. As a hands-on playbook, it combines the business and technical execution perspectives to help product companies, OEMs, manufacturers and equipment operators utilize the full potential of digital enablers, especially Artificial Intelligence (AI), Internet of Things (IoT) and Digital Twins. The Digital Playbook provides comprehensive and actionable guidance, helping to address the challenges of creating sustainable and scalable digital business models, managing cocreation and sourcing, setting up the digital organization, and handling the legal aspects. For the technical execution perspective, the playbook includes the AIoT Framework, which explains how to combine data science and AI engineering with Digital Twins, as well as software development for cloud and edge. The integration with physical product development and retrofit integration of existing equipment is included as well. A pragmatic, agile approach is introduced that takes common agile inhibitors into consideration. A holistic AIoT DevOps approach is described, which combines key elements of DevOps for cloud, edge and AI. Enterprise readiness is ensured by looking at trust and security as well as reliability and resilience for AIoT. A large number of real-world examples and case studies help ensure practical relevance. “The Digital Playbook builds bridges between business and technology. This hard-won advice can help bring smart, connected products and solutions to market faster and with reduced project risks.” --Dr. Stefan Hartung, CEO, Bosch Sponsored by: .
9783030882211
10.1007/978-3-030-88221-1 doi
Artificial intelligence.
Internet of things.
Cloud Computing.
Industrial engineering.
Automation.
Artificial Intelligence.
Internet of Things.
Cloud Computing.
Industrial Automation.
Q334-342 TA347.A78
006.3
1. AIoT 101 -- 2. Artificial Intelligence 101 -- 3. Data 101 -- 4. Digital Twin 101 -- 5. Internet of Things 101 -- 6. Hardware 101 -- 7. Digital OEM -- 8. Digital Equipment Operator -- 9. Platforms -- 10. Hybrid Models -- 11. Scalability -- 12. Business Model Design -- 13. Product/Solution Design -- 14. Co-Creation and Sourcing Intro -- 15. Rollout and Go-to-Market -- 16. Operations -- 17. Organization -- 18. Development Life-cycle Perspective -- 19.AIoT Design -- 20. AIoT Pipelines -- 21. AIoT Pipelines & Feature-driven Development -- 22. Holistic AIoT DevOps -- 23. Managing Different Speeds of Development -- 24. AIoT.exe -- 25. AIoT Product/Solution Design -- 26. Agile AIoT -- 27. Holistic AIoT DevOps -- 28. Trust & Security -- 29. Reliability & Resilience -- 30. Quality Management -- 31. AIoT in a Global, High-volume Manufacturing Network -- 32. Drone-based facade inspection -- 33. Predictive Maintenance for Hydraulic Components -- 34. BaseABC: Addressing the AIoT Long Tail in I4.0 -- Appendix.
Open Access
This open access book is a practitioner`s guide to smart, connected products and solutions. As a hands-on playbook, it combines the business and technical execution perspectives to help product companies, OEMs, manufacturers and equipment operators utilize the full potential of digital enablers, especially Artificial Intelligence (AI), Internet of Things (IoT) and Digital Twins. The Digital Playbook provides comprehensive and actionable guidance, helping to address the challenges of creating sustainable and scalable digital business models, managing cocreation and sourcing, setting up the digital organization, and handling the legal aspects. For the technical execution perspective, the playbook includes the AIoT Framework, which explains how to combine data science and AI engineering with Digital Twins, as well as software development for cloud and edge. The integration with physical product development and retrofit integration of existing equipment is included as well. A pragmatic, agile approach is introduced that takes common agile inhibitors into consideration. A holistic AIoT DevOps approach is described, which combines key elements of DevOps for cloud, edge and AI. Enterprise readiness is ensured by looking at trust and security as well as reliability and resilience for AIoT. A large number of real-world examples and case studies help ensure practical relevance. “The Digital Playbook builds bridges between business and technology. This hard-won advice can help bring smart, connected products and solutions to market faster and with reduced project risks.” --Dr. Stefan Hartung, CEO, Bosch Sponsored by: .
9783030882211
10.1007/978-3-030-88221-1 doi
Artificial intelligence.
Internet of things.
Cloud Computing.
Industrial engineering.
Automation.
Artificial Intelligence.
Internet of Things.
Cloud Computing.
Industrial Automation.
Q334-342 TA347.A78
006.3