AWS, Citizen Data Scientist and Data Lakes

Build generative AI–powered Salesforce applications with Amazon Bedrock

AWS Machine Learning Blog

JULY 29, 2024

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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AWS AI AI ML

Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas

AWS Machine Learning Blog

NOVEMBER 27, 2023

In Part 1 and Part 2 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. Salesforce adds a “__c “ to all the Data Cloud object fields.

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Build generative AI–powered Salesforce applications with Amazon Bedrock

Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas

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