New Salesforce engine aims to make enterprise AI trustworthy | MarTech
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New Salesforce engine aims to make enterprise AI trustworthy | MarTech
""AI without context is just guessing, or hallucinating," said Rahul Auradkar, Salesforce's EVP and GM, Data 360. "By combining Informatica's metadata with MuleSoft's real-time signals, we replace guessing with reasoning. We are giving AI the grounding it needs to operate safely - ensuring that when an agent acts, it does so with the full weight of enterprise truth behind it.""
"Enterprise understanding through metadata: Data 360 now includes Informatica's master data management (MDM) capabilities, covering entities like products, suppliers and assets. That gives agents a shared vocabulary and understanding, so when an AI model sees "SKU-123," it knows it's the same as "Part A" in another system. The integration also includes data lineage features, letting AI verify the freshness and trustworthiness of data. All that, when combined with a comprehensive data catalog that spans on-prem, cloud and legacy systems, provides a deep map of the organization's data landscape."
Salesforce unveiled a unified data engine that integrates Data 360, Informatica, and MuleSoft to provide trusted context for enterprise AI. The integration aims to reduce AI hallucinations by grounding models in company data, definitions and processes. Over 80% of enterprise AI projects fail to advance because systems lack this grounding, leading to misinterpretation of signals like customer ID or order status. The platform combines metadata-driven enterprise understanding, master data management for shared vocabularies and data lineage, and MuleSoft's real-time signals to enable reasoning over guessing. A comprehensive data catalog spanning on-premises, cloud and legacy systems maps organizational data for safer AI actions.
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