Abstract
As we have discussed in previous chapters, digital twins establish contextual relationships with the surrounding entities, providing a holistic view of interconnected systems and environments. With the growing complexity and abundance of data generated by digital twins, effective data management strategies have become paramount. This chapter delves into AI-enabled data management for digital twins, exploring how artificial intelligence techniques empower the collecting, storing, integrating, analyzing, and utilizing of diverse and voluminous data within the digital twin ecosystem. We will see how 6G and IoT networks can unlock valuable insights and optimize operational processes in many aspects by leveraging AI.
| Original language | English |
|---|---|
| Title of host publication | Digital Twins for 6G |
| Subtitle of host publication | Fundamental theory, technology and applications |
| Publisher | Institution of Engineering and Technology |
| Pages | 49-81 |
| Number of pages | 33 |
| ISBN (Electronic) | 9781839537462 |
| ISBN (Print) | 9781839537455 |
| DOIs | |
| Publication status | Published - 1 Jan 2024 |
Bibliographical note
Publisher Copyright:© The Institution of Engineering and Technology 2024.