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

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 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 ...

Einstein Studio can also help enterprises connect their data from Salesforce Data Cloud to third-party AI offerings including Amazon SageMaker and Google’s Vertex AI for model training.

Einstein Studio uses built-in Data Cloud functions for data modeling, data harmonization, unification and various data quality-related transforms, Auradkar said.

Salesforce adds Einstein Copilot Search, vector database to its Data Cloud, to help enterprises take advantage of unstructured data for analysis, and build AI-based applications.

Juggling tools and data is slowing marketers down. Salesforce is sprinkling Agentforce across its apps to help. The post ...

With a larger context window and a comprehensive set of datasets used for training, the XGen-7B LLM from Salesforce looks promising.