Salesforce pushes unified data model for safer AI agents
Customer testimonials highlight improved data consistency, though external verification remains limited.
Salesforce and Informatica are promoting a shared data framework designed to provide AI agents with a deeper understanding of business. Salesforce states that many projects fail due to context gaps, which leave agents unable to interpret enterprise data accurately.
Informatica adds master data management and a broad catalogue that defines core business entities across systems. Data lineage tools track how information moves through an organisation, helping agents judge reliability and freshness.
Data 360 merges these metadata layers and signals into a unified context interface without copying enterprise datasets. Salesforce claims that the approach provides Agentforce with a more comprehensive view of customers, processes, and policies, thereby supporting safer automation.
Wyndham and Yamaha representatives, quoted by Salesforce, say the combined stack helps reduce data inconsistency and accelerate decision-making. Both organisations report improved access to governed and harmonised records that support larger AI strategies.
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