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This is vendor announcement material, and it offers few technical specifics. Its substance is a claim that AI agents need unified enterprise context (structured data, unstructured content, knowledge graphs, and memory) and that Salesforce's Agent Context Engine can supply it across platforms like Snowflake without copying data. Readers should look for independent benchmarks, latency and access-control details, and evidence that zero-copy integration works at production scale before treating the claims as proven.

Sources coveringSalesforce Blog, AWS, Google Cloud Blog, CrowdStrike Blog

Data 360 × Snowflake: Powering the Agentic Enterprise with Zero Copy

Salesforce BlogOctober 30, 20267 min read

The AI model itself is no longer the differentiator it once was. Enterprises increasingly have access to the same powerful foundation models. What will separate the leaders is something far more valuable: the context of their business. Customer relationships. Transactions. Product usage. Conversations. Documents. Business definitions. Institutional knowledge. This context is unique to every company—and it is what allows AI to move from generating answers to understanding a business and acting on its behalf. The challenge is that the enterprise context doesn’t live in one place. It spans Salesforce, data platforms like Snowflake, applications, documents, conversations, and countless other systems. This is why we built Data 360. And with our Zero Copy partnership with Snowflake, we enable organizations to seamlessly connect and harness their enterprise context wherever it resides. At Dreamforce, we…

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