Snowflake
@Snowflake
The AI Data Cloud where data does more, and proud to be the Official Data Collaboration Provider for LA28 and Team USA.
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Snowflake CoCo is now listed on the NVIDIA Agent Skills GitHub repo:
That brings NVIDIA skills into CoCo workflows, including cuDF, cuOpt, Nemotron and more.
Reusable skills. Less custom scaffolding. More ways to build across Snowflake and NVIDIA.
That brings NVIDIA agent skills into CoCo workflows, including skills tied to tools, libraries and models like cuDF, cuOpt and Nemotron.
The useful part: less custom scaffolding when you want Snowflake-aware workflows to connect with NVIDIA’s accelerated computing ecosystem.
Reusable skills. Familiar CoCo workflow. More ways to build across Snowflake and NVIDIA.
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How do you scale AI to an entire enterprise safely? @Meltwater found the answer.
With Snowflake Cortex AI Gateway, they replaced operational sprawl with a single, governed layer for all their models, agents, and MCP servers. Now, teams across the company have safe, contextual AI connected directly to [tag] Salesforce, Snowflake, and over 10 other everyday apps.
Discover how they cut time to value and scaled with confidence.
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Snowflake CoCo is now listed on the @nvidia Agent Skills GitHub repo:
That brings NVIDIA skills into CoCo workflows, including cuDF, cuOpt, Nemotron and more.
Reusable skills. Less custom scaffolding. More ways to build across Snowflake and NVIDIA.
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Point a coding agent at your warehouse and it starts from scratch: inspect schemas, pick tables, infer metrics, then hopes it guessed right.
Cortex Sense starts from the data products your team already built.
Same eval set: 24% → 86% accuracy, with lower cost per question.
The only thing that changed? Context. Full eval breakdown:
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Are enterprise AI co-pilots already becoming obsolete? 💡
Jedify's Assaf Henkin joins Snowflake Ventures to discuss the massive shift toward fully autonomous agents.
See how fusing diverse data streams with Snowflake helps enterprises scale:
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That is the multi-engine lakehouse goal. Apache Iceberg gets us closer, but teams still need to design for interoperability, governance and shared business logic.
Check out the guide for what's solved and what isn't:
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Real enterprise AI impact goes far beyond cool technology. 💡
@themathcompany's Sayandeb Banerjee joins Ryan Green on Data Cloud Now to share how businesses can bring scalable AI models into production and drive real growth.
Watch here 👉🏻
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Not every pipeline fits CREATE DYNAMIC TABLE ... AS SELECT.
Custom incremental dynamic tables, now GA, let you define refresh logic with REFRESH USING, write to SELF with MERGE or INSERT, and process only incoming CHANGES.
Learn more:
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Observability data shouldn’t be trapped behind one interface.
Observe on Apache Iceberg writes telemetry to your S3 bucket as Snowflake-managed Iceberg tables, so tools like Spark, DuckDB, Trino and PyIceberg can query it directly through an open catalog. Dive in to learn more:
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Every new agent connection adds questions:
⬩Who called the tool?
⬩What permissions applied?
⬩Which model handled it?
⬩Where did data move?
⬩What did it cost?
Snowflake Cortex AI Gateway gives teams a control plane for agentic AI across models, MCP servers, tools, and enterprise systems. Details 👇
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Enterprise security shouldn't be the department that holds teams back; it belongs at the table powering innovation. 🛣️
Mayank Upadhyay shares how to transform security from a roadblock into an equal partner with smart, automated guardrails.
Watch:
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Re-processing unchanged LLM prompt history can burn tokens fast.
Snowflake Data Superhero Somen Swain breaks down how context caching in Snowflake Cortex AI helps lower repeated input-token costs:
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Hot tip! Did you know you can automate your Postgres tasks with the extension pg_cron? Create simple tasks based on a schedule for tasks like vacuum or rebuilding materialized views. Get started with 'select * from cron.job; '
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An AI-ready open lakehouse has three layers: Apache Iceberg for storage, catalog federation for governance, and MCP for AI agent access. More on our borderless lakehouse with @googlecloud: 🧊
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CoCo Desktop is here! 💥 Take a tour of Snowflake's native IDE and try it out – free for Mac and Windows:
Managing 26 million logged-in users requires a centralized data ecosystem to target audiences, promote content, and automate marketing. 🛠️
Using Snowflake CoWork, @TF1 unified user behavior into a 360-degree view, eliminating data access complexity while maintaining total conformity and compliance.
Learn more 👉🏻
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Most AI pipelines start the same way: pick the biggest model + get it working.
It works. Until it hits production.
Now costs grow, tuning gets manual, and it’s hard to know if you’re using the most cost-efficient model. That’s the hard part.
Snowflake Cortex AI Function Studio (PuPr) makes that easier. It turns optimization into a system:
✦ Evaluate models against your data
✦ Find the best cost vs quality tradeoff
✦ Avoid manual prompt tuning loops
✦ Deploy as governed SQL functions
Same outcomes. Lower cost. Less guesswork.
Learn more:
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Claude Sonnet 5 is now available in Snowflake Cortex AI. 🧠
As a launch partner with Anthropic, we’re bringing same-day private preview access in Snowflake, helping teams build more capable agents and AI workflows inside Snowflake’s secure governance perimeter.
Get the details:
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AI is no longer a destination, and our @Microsoft partnership brings the right tools directly to your data workflows.
Paayal Vora and Amy Kodl join Ryan Green to discuss eliminating data movement so you can build with one governed copy.
Watch here 👉🏻
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What if your coding agent could optimize your AI systems for you?
Our Snowflake AI Research team built CocoEvolve, an optimization harness powered by Cortex Code that automatically improves Cortex Agents, dbt projects, and AI Functions workflows.
The result? Stronger accuracy, fewer tool calls, and faster iteration cycles across real-world AI systems. Dive into the research:
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