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Bring Your Amazon SageMaker model into Amazon Redshift for remote inference | Amazon Web Services

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Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using familiar SQL commands. This post shows how you can enable your data warehouse users to use SQL to invoke a remote SageMaker endpoint for prediction. We first train and deploy a Random Cut Forest model in SageMaker, and demonstrate how you can create a model with SQL to invoke that SageMaker predictions remotely. Then, we show how end users can invoke the model. https://go.aws/3cAZKU1

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