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Latest posts
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Cortex Training: Serverless Fine-Tuning for Open-Weight LLMs
Customize open-weight LLMs with SFT, RL and custom training loops on serverless GPUs. Cortex Training is now in public preview on Snowflake.
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Fuel Every Agent and App With Data That Keeps Pace
Autonomous data engineering, real-time analytics and operational data come together on Snowflake so AI agents and apps run on fresh, trusted data.
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Real-Time Analytics on Snowflake: Stream, Transform, Serve
Build real-time analytics on Snowflake. Stream data in, keep it fresh and serve subsecond answers.
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From AI Pilot to Production with Snowflake Frontier Engineering
Snowflake Frontier Engineers embed with enterprise teams to move AI from pilot to production. See how Veradigm got results in weeks.
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Governed Context, Security and Spend Controls for AI Agents | Snowflake
Learn how Snowflake brings governed business context, AI agent security and AI spend controls belong in one interoperable platform.
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Build Faster, Work Smarter with AI Agents and Apps Grounded in Data | Snowflake
At Expedition 2026, Snowflake announces new capabilities across Snowflake CoCo and CoWork, Cortex Training, Apps and Agentic Collaboration that ground AI agents in governed business data, let them act with real permissions and compound value across the organization.
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Business Ontology: Governed Context for AI | Snowflake
Snowflake Business Ontology lets teams define, own and approve business terms and metrics so AI agents and people work from the same governed definitions.
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Snowflake and USA Cycling Partner on Data for LA28 Olympics
Snowflake is now the Official AI Data Cloud & Collaboration Partner of USA Cycling, uniting performance data to help Team USA riders prepare for LA28.
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Snowflake CoWork Adds Profiles, Dashboards & Automations
Snowflake CoWork adds Profiles, Dashboards and Automations so business teams can route questions, query reports and schedule recurring work, fully governed.
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Snowflake CoCo: Autonomous Cloud Agents for Data Work
Hand off pipelines, migrations and apps to Snowflake CoCo Cloud Agents that keep working after you sign off, inside your governed data, roles and policies.
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Why Waiting for Ready Data Is Riskier Than Starting AI Now
Waiting for perfect data before starting AI creates its own risk. See why running AI and data modernization in parallel is the safer path.
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Snowflake and Oracle: Bringing the AI Data Cloud to OCI
Snowflake and Oracle are expanding their partnership to bring Snowflake's AI Data Cloud to Oracle Cloud Infrastructure as a native, first-party service.
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Automated Snowpipe Setup with Snowflake CoCo Is Now GA
Go from cloud storage files to a continuously loading Snowflake or Iceberg table in one conversation with automated Snowpipe setup in Snowflake CoCo.
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How Finance Cut Forecasting to Hours With AI
See how Snowflake's sales finance team used AI to cut its monthly forecast from more than a week to a few hours, and what it took to get there.
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How to Measure AI Value Beyond Adoption Metrics | Snowflake
Prompt counts and active users don't show whether AI is changing work. Use this four-part framework to measure AI adoption, fluency and real business impact.
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Public Sector Data Modernization for AI Readiness
See how public sector data modernization helps agencies replace legacy systems, unify data and build a secure foundation for AI readiness.
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Agentic Analytics: Building a Data Foundation for AI Agents
Agentic analytics lets AI agents investigate business questions on their own. See how Snowflake grounds, runs and governs that work.
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How Brilliant Earth Drives Data Democratization | Snowflake
See how Brilliant Earth runs Posit inside Snowflake to drive data democratization with governed, self-service analytics apps for business teams.
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Vivix Executable Digital Twin for Float Glass | Snowflake
See how Vivix's executable digital twin, built with Siemens, Snowflake and NVIDIA, aims to cut furnace energy use 3%-5% and extend furnace life.
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Startup Spotlight: Dust’s Multi-Model AI Platform
Dust Co-Founder and CTO Stanislas Polu explains the vision behind Dust and how it helps companies own their AI by enabling control over agentic traces.