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A convergence of technologies—High-Performance Computing (HPC), Artificial Intelligence, and Machine Learning (ML)—unlock new potentials in industrial digital twins.
The use of surrogate models, also called reduced order models (ROM), helps manufacturers concentrate on the critical parameters, but the training process can be data- and compute-intensive, adding to the data-management burden.
In this presentation, we cover:
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Sandeep Uranker
Product Marketing Manager
Rescale
Sandeep Urankar is currently product marketing manager at Rescale where he helps the product management team understand market signals and owns the technical marketing of Rescale’s solutions.

Moderator: Kenneth Wong
Senior Editor
Digital Engineering


Rescale empowers engineers and scientists to automate and optimize their workflows on the latest specialized HPC infrastructure available. Governed by best in class security and reliability, the Rescale platform was built to enable global teams to…
Rescale’s Spotlight on Engineering Excellence
Leading organizations are turning to Rescale’s digital engineering platform to modernize, reduce costs, and accelerate development. This interactive eBook highlights how global enterprises and high-growth innovators are transforming simulation, harnessing AI, and optimizing HPC to drive better outcomes.
Brian Albright is the editorial director of Digital Engineering.
Contact him at [email protected].

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