Create AI-driven Salesforce apps with Amazon Bedrock | AWS Machine Learning Blog

Introduction to Salesforce Data Cloud and Amazon SageMaker Integration

This post explores the integration of Salesforce Data Cloud and Amazon SageMaker, highlighting the seamless collaboration between the two platforms.

Accessing Salesforce Data Securely with SageMaker Tools

Learn how the integration of Salesforce Data Cloud and Einstein Studio with SageMaker facilitates secure access to Salesforce data for building, training, and deploying models.

Empowering Business Analysts with ML Models in Amazon SageMaker Canvas

Discover how business analysts and citizen data scientists can create machine learning models without code using Amazon SageMaker Canvas and integrate them with Salesforce Einstein Studio.

BYO Large Language Models with Salesforce and AWS Integration

Explore the native integrations between Salesforce and Amazon Web Services that enable users to Bring Your Own Large Language Models (BYO LLMs) for generative artificial intelligence applications.

Utilizing Amazon Bedrock for High-Performing Foundation Models

Learn about Amazon Bedrock, a fully managed service offering high-performing foundation models from leading AI companies through a unified API, for building generative AI applications securely and responsibly.

Integrating Custom Models with Salesforce Einstein Studio

Discover how Salesforce Data Cloud and Einstein Model Builder allow users to integrate custom generative AI models from external environments such as Amazon Bedrock into Salesforce for enhanced AI-driven business processes.

Creating AI-Powered Salesforce Applications with Amazon Bedrock

Explore the steps involved in building generative AI-powered Salesforce applications with Amazon Bedrock, including setting up IAM user access, integrating LLMs, and leveraging prompts grounded in data.

Driving Innovation with the Salesforce and AWS Integration

AWS and Salesforce are excited to offer customers the opportunity to harness the integration and build AI-powered applications. Find resources to help you get started and delve deeper into the possibilities.

About the Authors

Meet the experts behind this collaboration, including Daryl Martis, Darvish Shadravan, Rachna Chadha, Ravi Bhattiprolu, Ife Stewart, Mike Patterson, and DK Rai, who bring a wealth of experience in AI, ML, and cloud solutions.


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