Integrating Amazon Bedrock with Salesforce for Generative AI-Powered Applications: A Step-by-Step Guide
Salesforce and Amazon Web Services (AWS) have announced a new integration that allows businesses to Bring Your Own Large Language Models (BYO LLMs) from their AWS accounts to power generative artificial intelligence (AI) applications in Salesforce. This collaboration between the two tech giants enables customers to create AI-powered features and Copilots customized for their specific business needs.
The integration leverages Amazon Bedrock, a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API. Customers can experiment with and evaluate top FMs for their use case, customize them with their data, and build agents that execute tasks using their enterprise systems and data sources. With Amazon Bedrock being serverless, customers do not have to manage infrastructure and can securely integrate and deploy generative AI capabilities into their applications using familiar AWS services.
Salesforce Data Cloud, a data platform that unifies a company’s data, plays a crucial role in this integration by providing a holistic customer view and turning disconnected data into a single, trusted model. With data harmonized within Salesforce Data Cloud, customers can build predictions and generative AI-powered business processes across sales, support, and marketing.
The integration also includes Salesforce Einstein Model Builder, which allows customers to build their own models using Salesforce’s low-code model builder experience or integrate custom-built models into the Salesforce platform. The BYO LLM experience in Einstein Model Builder enables customers to register custom generative AI models from external environments such as Amazon Bedrock and Salesforce Data Cloud.
The collaboration between Salesforce and AWS aims to empower customers to create custom generative AI applications grounded in the Salesforce user experience. By using responsible AI practices such as the Einstein Trust Layer, which protects the privacy and security of data, improves the safety and accuracy of AI results, and promotes responsible AI use across Salesforce, customers can build AI-driven solutions in the CRM space.
Overall, the integration between Salesforce and AWS opens up new possibilities for businesses to leverage AI technology to enhance customer engagement, drive automation and analytics, and personalize interactions. With the ability to Bring Your Own Large Language Models, customers can create tailored AI solutions that meet their specific business needs and propel them towards AI-driven success in the digital age.
