Part I. The Landscape, Implications, and Assumptions.- 1. The Digital Twin: Why and What? - Roberto Minerva, Noel Crespi, Adam Drobot.- 2. DT and Digital Revolution - Maciej Kranz KONE and Adam Drobot.- 3. Business models design for the Digital Twin - McKinsey Insight authors. A Business House - Gernot Strube, Munich; Steffen Fucks, Dallas; and Jan Koeleman, Amsterdam.- 4. The evolution and history of the Digital Twin - Mark Girolami (Cambridge and A. Turing Institute)..- Part II. Technologies.- 5. Representing the DT: New devices, new interfaces -.- 6. Where the data come from? Relation between IoT and DT - Alberto Sangiovanni Vincentelli, Berkeley.- 7. AI for DT: from data to knowledge - Chris O'Connor Persistent Systems; and Harry Shum, Microsoft.- 8. Simulation - Huli Homann (Microsoft); DoE project Alex Larzelere, GraysLine Group; Larry Smarr, UCSD; Florence Hu-Aubigny, Dassault Systems; Steve Dertien, PTC Corporation.- 9. Architectures and Implementations - Ernoe Kovacs, NEC.- 10. Network for Digital Twin - Roch Glitho, Concordia University.- 11. Managing the unmanageable - Patricia Florissi (Dell).- 12. Security and DT - possibly Florence Hudson, formerly IBM.- Section III The Digital Twin in Operation.- 13. Making the DT Operational in Enterprise Processes.- 14. Making the DT Operational in a Large Ecosystem -.- Section IV Vertical Domains for Digital Twin Applications.- 15. The Digital Twin in Manufacturing - William Grossmann, formerly ABB.- 16. The Digital Twin for Operations, Maintenance, Repair, and Overhaul -.- 17. The Digital Twin for Display, Education, and Curation - Paul Chipendale, FBK.- 18. Prognostication and Prediction, Prevention, and Prescription - Merouane Debbah, Huawei.- 19. The Digital Twin in Human Activities and Nature: the eHealth example - Mikael Benson, Swedish Digital Twin Consortium..- 20. The Digital Twin in Complex Systems - David Excoffier & Eric Hardouin, Orange Labs.- Section V Conclusion.- 21. Future Evolution of the Digital Twin - Roberto Saracco.- 22. DT in Action and lesson learnt - Roberto Minerva, Noel Crespi, Adam Drobot.
The Digital Twin is crucial and timely for positively affecting how we work, live, and play. It eliminates the gap between experimentation and learning by bridging real and virtual worlds in a powerful methodology, making significant headway in conquering previously unsolvable problems and challenges. Digital Twins are made possible by four widely deployed infrastructures for connectivity, computing, digital storage, and sources of digital data. The Digital Twin provides insights, paths to innovation, efficient production of goods, improved delivery of services, better experiences and entertainment, and new business models. Investing in Digital Twins is one of the most valuable ways to create sustainable paths to the future. The Digital Twin book is the most comprehensive work on the subject to date. It brings together top practitioners, technical experts, analysts, and academics to explore and discuss the concept of the Digital Twin, its history, evolution, and the profound impact across sectors of the global economy. The book addresses the business value, technological underpinnings, lessons learned from implementations, resources for success, practical approaches for implementation, and illustrative use cases. It makes the case for why we believe that Digital Twins will fundamentally transform major industries and enable us to fulfill important societal goals. The book is recommended for key decision makers, senior executives, technical leaders, researchers, and students
UnknownFormat
