
Amazon SageMaker now integrates directly with Salesforce Data Cloud, enabling customers to securely access Salesforce data to build and train ML models in SageMaker, then deploy them back to Salesforce Einstein Studio for business applications.


<div><p>This article announces Amazon SageMaker's direct integration with Salesforce Data Cloud, enabling secure ML model development and deployment across both platforms.</p><ul><li>Securely access Salesforce Data Cloud data directly from SageMaker using OAuth-2.0 authentication</li><li>Build, train, and deploy ML models without requiring ETL pipelines or S3 data copies</li><li>Use SageMaker Data Wrangler to browse Salesforce objects and create features with 300+ transforms</li><li>Deploy trained models to SageMaker endpoints via API Gateway for Salesforce Einstein Studio inference</li><li>SageMaker project templates standardize development environments for data professionals</li><li>Integration available in all AWS regions where SageMaker operates</li></ul><p>This integration streamlines ML workflows by connecting Salesforce data directly to SageMaker, eliminating data movement overhead and enabling seamless model deployment back to Salesforce applications.</p></div>


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