Build generative AI–powered Salesforce applications with Amazon Bedrock
This is the fourth post in a series discussing the integration of Salesforce Data Cloud with Amazon Machine Learning and Generative AI services.
In Part 1 and Part 2, we show how Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker’s tools to build, train, and deploy models to endpoints hosted on SageMaker. SageMaker endpoints can be registered with Salesforce Data Cloud to activate predictions in Salesforce. In Part 3, we demonstrate how business analysts and citizen data scientists can create machine learning (ML) models, without code, in Amazon SageMaker Canvas and deploy trained models for integration with Salesforce Einstein Studio to create powerful business applications.
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