Digital twins are virtual representations of real-life manufacturing assets. But they are not only models of the physical objects; they serve as a bridge and co-creation between data scientists and engineers. However, what digital twins fail to capture is the risk of assets and the environment to prevent failure.
We sat down with Alun Jones to talk to us about the developments, challenges and future outlooks of data science in his industry. Alun spoke at Data Innovation Summit 2018 and shared his experience with that it means to work as a Data Scientist in heavy asset industry.
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