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Salesforce deepens partnership with AWS

Salesforce expands its partnership with Amazon Web Services (AWS) to enable customers to develop custom artificial intelligence (AI) solutions using Amazon SageMaker, AWS’s machine learning (ML) modeling service, and Einstein, Salesforce’s AI technology. I was able to build the model. The new integration was announced at Dreamforce 2022.

This partnership provides data scientists and developers with access to real-time data from other sources, such as Salesforce Customer 360 and AWS data lakes, to create ML models in Amazon SageMaker using their frameworks and tools of choice. We aim to be able to build and train

Customers can then choose from Einstein purpose-built models, point-and-click model builder, or Amazon SageMaker trained and deployed, pre-trained, or custom-built models to power predictions and insights across the Salesforce platform. increase.

Salesforce Genie, also announced at Dreamforce, makes integration possible. Genie is the real-time customer data platform that powers Salesforce Customer 360, granting data access to Amazon SageMaker for model training and enabling real-time inference calls into SageMaker for AI anywhere across the Salesforce platform. Enhance predictions.

Ankur Mehrotra, Director of Amazon SageMaker said: on AWS. “We aim to solve this challenge by enabling data scientists and developers to build, deploy, and run high-quality machine learning models at scale using Amazon SageMaker and Salesforce.”

Salesforce deepens partnership with AWS

Source link Salesforce deepens partnership with AWS

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