Transforming the MENA Region with GenAI Enhanced Digital Twins & the IOE
summary
Presents a concrete system: a hybrid physics–ML digital twin that updates online for real‑time structural health monitoring and aims toward an autonomous digital twin that can actuate changes without human intervention. Uses sensor networks plus machine learning and generative AI to synthesize rare-event training data so models predict failures before they occur. Cites regional examples and figures: 72,000 London bridges with >60% aging, 92 Nigerian bridge collapses from flooding, and an RTA deployment claiming ~20% congestion reduction; promotes Internet of Everything over IoT.
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chapters (11)
- 0:00GenAI and digital twins in MENA
- 2:09Digital twin basics
- 4:58AI critical for infrastructure
- 8:52AI evolution in digital twins
- 10:57GenAI for predictive modeling
- 12:25Internet of Everything
- 13:07AI digital twin case studies
- 14:36AI adoption challenges
- 16:25Five-year AI roadmap
- 17:35Overcoming AI fears
- 19:20Future AI vision
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