How is AI being integrated into Digital Twin systems within autonomous networks at Nokia?
Kruti J. asked a question to Nicolas D.
I have recently applied for the Trainee, Digital Twin role at Nokia, and I am trying to understand how this domain is evolving in real industrial systems. From my academic and project experience in computer science, I have worked on IoT data processing, multi-sensor fusion, robotics navigation, and AR/VR-based simulations. This has given me an interest in how real-world systems can be modeled, simulated, and improved using data-driven approaches. I would appreciate your perspective on how AI techniques such as machine learning, predictive modelling, and autonomous decision-making are currently being applied in Digital Twin systems at scale, and what areas are becoming most important for future development in this field.
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Hi! Thanks for your question. There are indeed several intiatives where Digital Twin and AI/ML systems works toghether in the context of Autonomous Networks. I suggest you to have a look at our public content (presentation, published papers) to check how we are leveraging these two assets in these context. Thanks.
