and that by using Salesforce data instead of the open internet, you could reduce some of the issues around hallucinations where the model makes things up, as well as data ownership and governance ...

Compounding the challenge is the fundamental difference between Salesforce’s data model and traditional ... she conducts a thorough assessment of the data landscape, identifying sources ...

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 ...

Once a model is trained with Data Cloud, it can be integrated into various Salesforce experiences, including Data Cloud, Flow and Apex and power company applications. For example, a propensity-to ...

56% of organizations need over a day to recover 100 records due to Salesforce's complex data model. Downtime costs an estimated $300k per hour, impacting business systems like ERP. Learn best ...

“Einstein Studio solves this challenge with native integration with Data Cloud and the Salesforce Platform. Model inferences are available in real-time in workflows ensuring AI projects drive be ...

Customer relationship management (CRM) software provider Salesforce’s AI research ... The smaller versions of the model, in combination with the synthetic data generated via APIGen, performed ...

‘It’s a very low-risk way to try to get your data as clean as you possibly can get it, which is also better for your business,’ says Salesforce executive Marla Hay. Salesforce has made ...