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Adam Sobey

Data-Centric Engineering at scale: How do we automate workflows for large-scale emissions reductions? 

Organisations face huge modelling demands as AI evolves in transport and infrastructure. Adam Sobey reveals how automation can scale this work and deliver real emissions impact.


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Making Sense of Complex Assets Through Better Data

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Turning Huge Model Requirements into Manageable Systems

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Streamlining the Journey From Raw Data to Real‑World Impact

Introducing the Presenter

Adam Sobey

Mission Director for Sustainability at The Alan Turing Institute

Adam Sobey is Mission Director for Sustainability at The Alan Turing Institute, the UK’s National AI and Data Science Institute, Chair of Data-Centric Engineering in the Maritime Engineering Group at The University of Southampton and a project scientific advisor at Simula Research Laboratory, Norway.

He also acts as a Non-Executive Director at Theyr Ltd, a Voyage Optimisation Software provider to the marine industry, and AQ Live, providing data/AI assurance. His research focuses on the development of Reinforcement Learning, Evolutionary Computation and Machine Learning in the context of engineering applications, predominantly for emissions reductions.






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