3 Chapter 3Figure 3.1. The evolution of computing. For a color version of this figure, se...Figure 3.2. A comparison between real world and autonomous world. For a color ...Figure 3.3. A complex situation to predict and to treat with a 100% cloud answ...Figure 3.4. Principle of edge computing. For a color version of this figure, s...Figure 3.5. Technologies involved in edge computing. For a color version of th...Figure 3.6. (*) IFTTT: “If This Then That” is a 100% cloud-based application t...Figure 3.7. Smart everythingFigure 3.8. What edge computing represents at the endpoint. For a color versio...Figure 3.9. Different cloud-server and local usage implementation scenarios. F...Figure 3.10. The continuous evolution of information systems architecture. For...Figure 3.11. The different levels of components in the edge computing landscap...Figure 3.12. For a color version of this figure, see www.iste.co.uk/duvaut/IAM...
4 Chapter 4Figure 4.1. Top decentralized exchanges by number of transactions. For a color...Figure 4.2. Raised funds in ICO with EOS ICO specific display (source: Autonom...Figure 4.3. Raised amount via IEOFigure 4.4. The next era of computing (source: Blockstack presentation)
5 Chapter 5Figure 5.1. Product lifecycle phasesFigure 5.2. End-to-end product lifecycle activities from a data point of view....Figure 5.3. Industry 4.0 technologies addressed in the digital initiatives imp...Figure 5.4. Digital planning preparation initiative boosts data management mai...Figure 5.5. Challenges facing digital planning preparation initiative in data ...Figure 5.6. Digital planning execution initiative impact on data managed at ex...Figure 5.7. Digital planning execution initiative faced challenges at data exp...Figure 5.8. Digital control of production initiatives managed data mainly from...Figure 5.9. Digital control of production initiatives faced challenges mainly ...Figure 5.10. Carbon fiber automatic lay-up machine (a) and numerical control m...Figure 5.11. Three-part Jo bolt description (a); Jo bolt installed before the ...Figure 5.12. As a robotic solution for assembly operations, the pin milling ro...Figure 5.13. Pin milling robot faced challenges mainly at robotics technologie...Figure 5.14. Digital work order initiative managed data from design and work p...Figure 5.15. Paper work order (a); 2D digital work order on a tablet (b) and i...Figure 5.16. Digital work orders faced challenges mainly at data exploitation ...Figure 5.17. Remote support tool affected mainly data at execution and disrupt...Figure 5.18. Main challenges for deploying the remote support tool were on dat...Figure 5.19. Virtual reality for inspection of managed data at execution and d...Figure 5.20. Paper based verification instruction (left) and virtual reality e...Figure 5.21. Main challenges for deploying virtual reality for inspection tool...Figure 5.22. From a data point of view, augmented reality for harness manufact...Figure 5.23. Augmented reality for harness manufacturing faced challenges on d...Figure 5.24. Support brackets highlighted in white circles, conducting harness...Figure 5.25. From a data point of view, augmented reality for assembly mainly ...Figure 5.26. Augmented reality for assembly faced challenges on data exploitat...
6 Chapter 6Figure 6.1. Blockchain mapFigure 6.2. “Augmentation age”: real-time interaction and co-evolution of the ...Figure 6.3. The augmentation convergence: three “pyramidal” engines that prope...Figure 6.4. The AugmentChain outcome pyramidal engineFigure 6.5. The enabler’s AugmentChain pyramidal engineFigure 6.6. The AugmentChain catalyst’s pyramidal engineFigure 6.7. The sustainable ITA augmentation value chain, called the “AugmentC...
Guide
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