Predicting common machine failure types is critical in manufacturing industries. Given a set of characteristics of a product that is tied to a given type of failure, you can develop a model that can predict the failure type when you feed those attributes to a machine learning (ML) model. ML can help with insights, but up until now you needed ML experts to build models to predict machine failure types, the lack of which could delay any corrective actions that businesses need for efficiencies or improvement.
In this post, we show you how business analysts can build a machine failure type prediction ML model with Amazon SageMaker Canvas. Canvas provides you with a visual point-and-click interface that allows you to build models and generate accurate ML predictions on your own—without requiring any ML experience or having to write a single line of code.
Solution overview
Let’s assume you’re a business

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