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Democratising machine learning for performance management of refining assets

Asset Performance Management strategies fuel predictive maintenance practices to maintain the availability and reliability of critical refining assets.

Such strategies are powered by advanced algorithms that allow them to be nimble and flexible to evolve continuously considering changes in operations. This dynamic nature historically has made them hard to use and maintain by in-house operations and maintenance teams, until now! Join this webinar to discover the technologies democratising the use of machine learning for Asset Performance Management, putting them at the service of your engineering teams. This webinar will cover how to efficiently create, validate, operationalise, and maintain asset models through productive, intuitive workflows that allow engineering teams to make use of the technologies without having to become experts in data science.


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