Salesforce is reducing its reliance on generative AI. The company faced reliability problems with large language models.

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 ...

Increased fees for Salesforce’s Connector program are beginning to affect software vendors, potentially raising integration ...

Salesforce is rethinking its heavy reliance on large language models. Executives say trust in generative AI has declined after real-world reliability issues, pushing the company toward more ...

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 ...

Salesforce Inc. co-founder and Chief Executive Marc Benioff is articulating a bold vision for the next era of enterprise software. In an exclusive interview with theCUBE on April 25, Benioff outlined ...

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. Salesforce on ...

By integrating Informatica’s data capabilities, Salesforce’s Data 360 provides a broader, contextual foundation for AI agents ...

The current CRM scene keeps advancing at a rapid pace, with innovative companies now leaning toward options combining ...

Salesforce is scaling back its use of generative AI after facing reliability challenges. The shift highlights growing ...

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