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Source document· February 23, 2026

Snowflake Cortex Code Expands Towards Supporting Any Data, Anywhere

View original at finance.yahoo.com
Snowflake Cortex Code Expands Towards Supporting Any Data, Anywhere New updates to Cortex Code CLI support popular data systems dbt and Apache Airflow®…
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  • Developers don't operate in a single system, and AI coding assistants shouldn't either. Modern data work spans multiple systems, teams, and workflows — and the tools we build have to reflect that reality.

    80% confidence
  • Cortex Code is transforming how Braze approaches agentic analytics, with native understanding of datasets, schemas, and columns allowing engineers to spend less time on context and more time getting precise, actionable outputs

    80% confidence
  • Cortex Code has transformed solution development at evolv Consulting by providing a direct, context-aware connection to the Snowflake ecosystem. This translated into over 500 hours in time saving – roughly $100,000 in value – in just the first 20 days of adoption.

    80% confidence
  • More than 12,600 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud

    80% confidence
  • Snowflake has seen strong adoption of Cortex Code with over 4,400 new users since launch in November 2025

    80% confidence

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Snowflake Inc. · customer count12600 customers

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Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
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Donde las fuentes discrepan
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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