"Data Cloud Context Indexing: A new indexing pipeline in Salesforce Data Cloud designed to help AI agents interpret unstructured content - like contracts, diagrams and tables - through a business-aware lens. This surfaces precise details from vast, disconnected information, making it easier to get the correct answers faster. Data Cloud Clean Rooms: Data Cloud Clean Rooms let companies securely share, collaborate and analyze data to unlock intelligent insights without moving or exposing raw data."
"They extend the power of a typical clean room by leveraging zero-copy connectivity, eliminating the need to duplicate sensitive datasets - thereby reducing security and compliance risks and cutting storage costs. Companies can also securely collaborate with partners through Salesforce's privacy-enhanced, native integration with AWS Clean Rooms. Tableau Semantics: Tableau Semantics is an AI-powered semantic layer, natively integrated with Salesforce Data Cloud, that translates raw data into business language."
Salesforce is expanding platform-wide data, governance, security and semantic capabilities to build trust and scale agentic AI across enterprise workflows. The company invested in AI agents with Agentforce but recognizes trust and operational barriers remain. Industry findings show more than 80% of AI projects fail due to poor data quality, weak governance and fragmented integration, and compliance, data quality and governance hinder AI agent adoption in marketing. New capabilities include Data Cloud Context Indexing for interpreting unstructured content through a business-aware lens, Data Cloud Clean Rooms for secure zero-copy collaboration and native AWS integration, and Tableau Semantics to translate raw data into business language.
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