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Snowflake's announcements center on agentic AI features: a Business Ontology layer for shared definitions, governance for agents through Cortex AI Gateway, and agents that build and troubleshoot data pipelines. The company's pitch is that consistent business context matters as much as data access, since agents can give conflicting answers even with accurate underlying data. For AI readers, the practical questions are whether these governance and semantic-consistency tools hold up in production and how much they lock enterprises into Snowflake's stack.

Surse care acoperăSiliconANGLE, Snowflake Blog, AtScale

Snowflake expands agentic AI platform with business context and governance tools

SiliconANGLE3 noiembrie 20265 min de cititArticolul și perspectiva sunt în engleză.

Snowflake Inc. today announced a sweeping collection of artificial intelligence capabilities designed to bring business context, governance and autonomous development into the same environment, as enterprises increasingly hand over software engineering and everyday operations to AI agents. The announcements, during the company’s Expedition 2026 virtual conference, include a new Business Ontology framework, expanded agent governance […] The post Snowflake expands agentic AI platform with business context and governance tools appeared first on SiliconANGLE.

Snowflake Inc. today announced a sweeping collection of artificial intelligence capabilities designed to bring business context, governance and autonomous development into the same environment, as enterprises increasingly hand over software engineering and everyday operations to AI agents. The announcements, during the company’s Expedition 2026 virtual conference, include a new Business Ontology framework, expanded agent governance through Cortex AI Gateway, and autonomous data engineering capabilities that allow AI agents to build, monitor and troubleshoot data pipelines with less human intervention. The company is betting that more coders and engineers will use AI throughout…

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