Generative AI everywhere The Salesforce-built models in AI Cloud power new capabilities in Salesforce’s flagship products, including Data Cloud, Tableau, Flow and MuleSoft.

Salesforce announced Einstein Studio to bring your own model into Salesforce Data Cloud starting with Amazon Sagemaker.

Salesforce introduced its AI layer, dubbed Einstein, in 2016. More recently, at the Salesforce World Tour event in NYC in May, all the company talked about was generative AI and Data Cloud, its in ...

Salesforce today announced Einstein Studio, a new experience that allows users to connect and train their own custom AI models on Data Cloud.

Eyeing the need for organizations to train their own artificial intelligence models, Salesforce Inc. today is announcing a new feature of its Data Cloud data lake that collects information from a ...

Salesforce today launched Einstein Studio, a bring-your-own-model (BYOM) AI development tool that allows customers to bring AI models they have already developed on Amazon SageMaker or Google Cloud ...

Pro, a simulated enterprise AI testing platform, to address the 95% failure rate of AI pilots and improve agent reliability, performance, and security in real-world business deployments.

Salesforce is letting users update their products instantly as it risks customers treating it as just one of many data points in Snowflake.

Salesforce is leveraging its heritage in enterprise security (granular sharing models, metadata-driven access controls) to ensure that even as data flows freely, it remains governed.