Live Recording: Neste Case Study: Applying Machine Learning to Support Predictive Asset Maintenance of Heat Exchangers
With Markko Rajatora, VP Business Processes, Neste Corporation
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This exclusive presentation was recorded live at Predictive Asset Analytics Online - December 9, 2020 - 8:15am EST
Neste Case Study: Applying Machine Learning to Support Predictive Asset Maintenance of Heat Exchangers
In his presentation Markko Rajatora, VP Business Processes, Neste Corporation, explains how Neste applies machine learning to support predictive asset maintenance of heat exchangers in one of Neste's refineries. The presentation addresses the underlying business requirements, approaches to refinery data, related IT systems and applied machine learning solution aspects. Markko shares insight to the results and discusses the usability aspects related to the predictive asset maintenance solution.
Markko Rajatora, VP Business Processes, Neste Corporation
