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Salesforce and AWS Expands AI CRM Marketplace Integration

Salesforce and AWS Expands AI CRM Marketplace Integration

At the AWS re:Invent event, Amazon Web Services (AWS) and Salesforce have revealed a substantial extension of their longstanding partnership, unveiling enhanced integrations spanning data management and artificial intelligence. Select Salesforce products will be available on the AWS Marketplace for the first time, aiming to simplify and ensure secure data management across both platforms. Furthermore, this expansion allows for the responsible incorporation of cutting-edge generative AI technologies into various applications and workflows.

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The intensified collaboration between AWS and Salesforce brings forth heightened integrations between their products, aiming to facilitate seamless interactions and customer data management. Salesforce will now support Amazon Bedrock, an AWS-managed service that provides access to foundational models from top AI firms via a unified API. This integration aligns with Salesforce’s strategy of an open model ecosystem, enabling Amazon Bedrock through the Einstein Trust Layer to empower AI-driven applications and workflows within Salesforce’s ecosystem.

Additionally, the Salesforce Data Cloud will broaden its support to encompass various AWS technologies, facilitating data sharing across these platforms. This expansion will be accompanied by centralized access controls, empowering customers with granular control over secure user access at the folder, object, and file levels for Data Cloud content stored within Amazon Simple Storage Service (Amazon S3).

The deepened collaboration and expanded integrations between AWS and Salesforce aim to offer customers streamlined and secure data management solutions while providing avenues for leveraging advanced AI capabilities across their applications and workflows.

Adam Selipsky, CEO of AWS, said, “Salesforce and AWS make it easy for developers to securely access and leverage data and generative AI technologies to drive rapid transformation for their organizations and industries. With this expanded partnership, our joint customers gain powerful new ways to innovate, collaborate, and build more customer-focused applications using the broadest and most profound cloud services.”
The recent collaboration between Salesforce and Amazon Web Services (AWS) marks an expansion of their partnership, aimed at enriching AI-driven capabilities within Salesforce platforms and streamlining data management across AWS technologies. This partnership introduces several key integrations and enhancements:

  1. Unified Purchasing and Management: Salesforce products, including Data Cloud, Service Cloud, Sales Cloud, Industry Clouds, Tableau, MuleSoft, Platform, and Heroku, will now be available on the AWS Marketplace. This integration streamlines procurement processes, providing customers with a consolidated view of their IT spending, private pricing options, and simplified billing through AWS.
  2. Enhanced Data Management: AWS and Salesforce are transforming Data Cloud into a comprehensive Software-as-a-Service (SaaS) data platform. New Zero-ETL integrations facilitate seamless data unification, eliminating the need for customers to create their own ETL pipelines between Data Cloud and AWS services. This integration empowers customers with faster insights and predictive capabilities.
  3. Utilizing AWS Services in Salesforce’s Einstein Platform: Customers gain access to customized prompt templates through Salesforce’s Einstein Copilot Studio, backed by AI models hosted on Amazon Bedrock. This allows secure utilization of techniques like retrieval-augmented generation (RAG) from leading AI providers, enhancing generative AI experiences across Salesforce Customer 360.
  4. Service Cloud and Amazon Connect Integration: Deepening the integration between Service Cloud Voice and Amazon Connect, Salesforce and AWS are introducing Amazon Connect Chat to Service Cloud Digital Engagement. Amazon Connect forecasting and agent scheduling will also be implemented to improve the omnichannel supervisor experience.
  5. Heroku as a Platform-as-a-Service (PaaS) Layer: Heroku will leverage AWS infrastructure to fortify its compute functionality, incorporating accelerated Amazon EC2 instances powered by Nvidia GPUs, AWS Trainium, and AWS Inferentia for machine learning tasks. This collaboration aims to provide developers with a performant, cost-effective infrastructure for resource-intensive workloads.

These integrations and enhancements are set to empower businesses with advanced AI capabilities, streamlined data management, and improved development environments across Salesforce and AWS platforms.

Jason Amidon, Director of Sales Operations at 3M, highlighted their commitment to leveraging science for global problem-solving. He emphasized, “Our service transformation revolves around AI, automation, and technology advancements, where the Salesforce and AWS partnership has played a pivotal role. Integrating Salesforce in the AWS Marketplace further streamlines our adoption of these platforms, enhancing experiences for our customers and employees.”
The extended collaboration between AWS and Salesforce proves highly advantageous for customers:

Fawad Ahmad, Senior Vice President and Chief Digital Officer at State Farm expressed, “State Farm has long partnered with AWS and Salesforce, witnessing substantial benefits for our teams and the 94 million policies & accounts we serve. Expanding this partnership promises unlocking even greater value for our customers.”

FAQs

1. What improvements have been made in data management?
The collaboration focuses on transforming Data Cloud into a SaaS data platform, offering Zero-ETL integrations with AWS services for faster insights and predictive capabilities without needing custom ETL pipelines.

2. How are AI capabilities being enhanced in Salesforce platforms through AWS?
Salesforce’s Einstein Copilot Studio now offers AI models hosted on Amazon Bedrock, allowing secure access to advanced AI techniques like retrieval-augmented generation (RAG) from leading AI providers.

3. Are there specific enhancements for customer service and engagement?
Integrating Service Cloud Voice and Amazon Connect introduces Amazon Connect Chat to Service Cloud Digital Engagement, improving omnichannel supervisor experiences.

4. What advancements are seen in the platform-as-a-service (PaaS) layer, specifically Heroku?
Heroku leverages AWS infrastructure with accelerated compute instances and machine learning capabilities like AWS Trainium and Inferentia, enhancing developers’ environments.

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