Salesforce Uses AWS Services to Help Customers Deliver AI-Optimized Interactions at Scale

Salesforce’s Data Cloud uses AWS services, machine learning, and generative AI to build a solution that helps companies harmonize their customer data and deliver personalized experiences, all at hyperscale. Salesforce Data Cloud helps customers create a single source of truth for their data with an unprecedented openness in a data platform, a zero ETL framework, and the ability to access data wherever it is. Backed by AWS services including Amazon Elastic Kubernetes Service (Amazon EKS), Amazon EMR and Amazon DynamoDB, the Salesforce Data Cloud created the ability to trigger actions based on any and all data and insight changes, such as a customer’s status change or a propensity score change, and then push out the signals to any downstream applications. Over the last year, Salesforce created a “Bring Your Own AI Model” capability using an integration with Amazon SageMaker that drastically reduces the operational burden to maintain and use AI. Salesforce accesses different large language models (LLMs) from Amazon Bedrock to help customers harmonize data and deliver meaningful AI-optimized interactions at scale.