By Editor , 27 October 2026
Snowflake Sets Out Ground-Analyze-Act Framework for AI Agents

Global – October 27, 2026 -- Snowflake is built around three pillars, Ground, Analyze and Act, wrapped in a governance layer it calls Assure, to let AI agents run open-ended business investigations on enterprise data without copying that data into each agent platform.

The model targets agents that decide which data to examine, learn from each result and choose the next step. A churn probe, for example, could compare customer segments, product usage and support issues, then feed a recommended response into a retention workflow.

By Editor , 27 October 2026
Multnomah County Completes Legacy Data Migration in Five Months

Portland – October 27, 2026 -- Multnomah County, Oregon, migrated a decade-old SQL Server environment to a modern data platform in five months, a timeline that public sector organizations often stretch over years, according to a session at this year's Snowflake Summit.

By Editor , 27 October 2026
Snowflake Cuts Incident Fix Time to 16 Minutes With CoCo Agent

North America – October 27, 2026 -- Snowflake's product data science team cut the time from pipeline incident to a tested, reviewable fix to under 16 minutes using its CoCo agentic AI assistant. Before CoCo, diagnosis took a skilled engineer about 30 minutes per case. The result comes from a four-part framework that Snowflake built to measure AI value beyond license counts and prompt volumes.

By Editor , 27 October 2026
Alteryx Pitches Business Logic Layer for AI on Snowflake Data

Global – October 27, 2026 -- Alteryx is marketing its platform as the governed business-logic layer on top of Snowflake's AI Data Cloud. It cites a 90% time saving in campaign development at Telenet and a 25% subscriber increase at BODi as proof points.

By Editor , 14 October 2026
ATTOM Launches Semantic Views for Property Data on Snowflake

Irvine – October 13, 2026 -- ATTOM has released version 1.0 of Semantic Views for its property data delivered through Snowflake, adding a layer of business context intended to help AI systems interpret and query complex real estate datasets.