Salesforce and AWS have expanded their partnership to offer customers select Salesforce products through the AWS Marketplace.
According to the two companies, the partnership's new capabilities intend to "deepen product integrations across data and AI" by making data management across Salesforce and AWS more seamless and the integrations of generative AI technologies across an organisation's applications more straightforward and more secure.
Marc Benioff, Chair and CEO at Salesforce, commented:
We’re bringing together the No. 1 AI CRM provider and the leading cloud provider to deliver a trusted, open, integrated data and AI platform and ensuring we meet massive customer demand for our products on the AWS Marketplace. With these enhancements to our partnership, we’re enabling all of our customers to be more innovative, productive and successful in this new AI era."
Salesforce and AWS are deepening the integrations between their two services, including several of Salesforce's products being introduced to AWS Marketplace, including Data Cloud, Service Cloud, Sales Cloud, Industry Clouds, Tableau, MuleSoft, Platform, and Heroku.
Salesforce will now also support Amazon Bedrock. As an illustration of Salesforce's open model ecosystem, Bedrock is a fully managed service that makes foundation models (FMs) from advanced AI businesses accessible to customers through one API. Amazon Bedrock will be available through the Einstein Trust Layer, underpinning AI-driven apps and workflows within Salesforce Data Cloud's expansion to support data sharing across extra AWS products, which is a further integration.
Data Cloud integrations can be managed through new centralized access controls, which allow customers to oversee "secure user access at the folder, object, and file level for Data Cloud content stored in Amazon Simple Storage Service (Amazon S3)", according to the partnership's announcement.
New Zero-ETL (extract, transform, and load) integrations minimise the requirement for customers to build their own ETL pipelines between Data Cloud and AWS data services. Customers seamlessly unite their data for better insights, predictions, and more advanced applications.
Salesforce and AWS have also deepened the Service Cloud Voice and Amazon Connect integration by introducing Amazon Connect Chat to Service Cloud Digital Engagement. Amazon Connect forecasting, capacity planning, and agent scheduling were added to Service Cloud Digital Engagement. This aims to improve the Salesforce Service Cloud Omnichannel manager experience.
The partnership's expansion also entails integrated generative AI capabilities that underpin customer insights and agent and manager automated assistance. The ambition is to power a unified customer experience, better-informed supervisors and more productive agents.
