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SUMMARY:Foundations of Advanced Analytics: A Layered Approach Fit for Purpose
DESCRIPTION:Register for the webinar here \nFrom Aveva: \nFor data quality\, the scope of the analytics has to be understood in its usage context: individual sensors single pieces of equipment \,a functional group (FEG)\, or an entire process unit or a plant. Similarly\, for maintenance\, the analytical requirements must be framed around popular maintenance strategies – reactive\, preventive\, condition-based and predictive. And\, for a process\, the layers are often described as – descriptive-diagnostic-predictive-prescriptive. A layered approach can encode SME (subject-matter-expert) knowledge in fit-for-purpose analytics\, and you can deploy the analytics in a hybrid fashion – both physics/engineering (first principles) based analytics as well as data driven with machine learning via open source or third party libraries. \nJoin us for this webinar series where we first explore a layered approach to analytics for use cases in data quality\, condition-based/predictive maintenance\, process diagnostics\, and others. We will introduce the data engineering aspects in the analytics workflow and prepare you for what to expect regarding operationalizing the analytics. \nRegister here.
URL:https://foodindustryexecutive.com/food-industry-webinar/foundations-of-advanced-analytics-a-layered-approach-fit-for-purpose/
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