The acquisition was announced on May 27 th with a price of $25 per share, which represents a 34.6% premium over the 30-day ...

It requires the resilience to shape-shift, while also maintaining productivity and efficiency, and this will challenge the business and operational models of energy and utility companies and shape ...

Salesforce today introduced Data Cloud Vector Database to help businesses unify and unlock customer ... It also reduces the need to fine-tune large language models (LLMs) while improving the accuracy ...

known for their high performance and data governance standards, will be accessible to joint customers. These models, when integrated with Salesforce’s Einstein 1 Platform, can be used for ...

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 ...

Data engineering is the process of designing, building, and maintaining data pipelines that transform raw data into usable and valuable information. A data model is a representation of how data is ...

relevant generative AI across all Salesforce applications without having to fine-tune an off-the-shelf large language model (LLM). Data Cloud Vector Database – built into the Einstein 1 Platform – ...

For instance, by connecting Salesforce CRM data like transaction history and credit score with market analysis and economic trends, a Databricks user can create custom cross-selling models that ...

Salesforce on Friday released a new no-code, interface-based AI and generative AI model training tool, dubbed Einstein Studio, as part of its Data Cloud offering. Targeted at data scientists and ...

This tool was created to generate object-model/ERD Diagrams for custom objects in salesforce. There was a requirement for ... in other words, split down into logical groups for easy digestion. To ...