Source of this article and featured image is DZone IoT. Description and key fact are generated by Codevision AI system.
Digital twins are undergoing a transformation thanks to AI, which is helping overcome past integration challenges and delivering real-world business value. This article by Tom Smith explores how AI is reshaping digital twin technology, making it more adaptive and intelligent. The piece explains why this development is significant for industries and outlines what readers can expect to learn about AI-driven digital twins. Tom Smith, a well-known contributor, provides insights into the evolution of digital twins and their growing impact across various sectors. Readers will gain a clear understanding of how AI is revolutionizing digital twins and their potential applications.
Key facts
- AI is enabling digital twins to evolve from static models into active cognitive systems that learn and adapt.
- Modern digital twins integrate data from multiple sources and use AI to form a comprehensive understanding of physical assets.
- AI-powered digital twins are improving predictive maintenance, with companies like Equinor reporting a 68% reduction in unplanned downtime.
- Urban areas like Singapore and Barcelona are using digital twins to optimize infrastructure management and prevent issues like flooding.
- AI is also helping preserve institutional knowledge, making expertise available to new generations of workers.
TAGS:
#AI #automation #Data Engineering #digital twins #industry 4.0 #IoT #machine learning #predictive maintenance #smart cities
