We're bringing same-day availability of Claude Fable 5.1, Anthropic's latest model, to Snowflake Cortex AI in private preview. Fable 5.1 sets a new bar for long-running agentic coding, knowledge work and problem-solving, with adjustable effort levels and built-in self-verification for more autonomous runs with less supervision. Put it to work across Snowflake CoWork, CoCo, Cortex Agents, Cortex AI Functions and Cortex Inference, all inside Snowflake's security and governance perimeter from day one. More model choice, same governed platform. See what's possible: https://bit.ly/3SHmNoA
About us
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.
- Website
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http://www.snowflake.com
External link for Snowflake
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- The Cloud
- Type
- Public Company
- Founded
- 2012
- Specialties
- Data Warehousing, Cloud, Analytics, Data Lake, Marketing Analytics, Data Applications, Data Engineering, Data Science, and Data Exchange
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Employees at Snowflake
Updates
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When you're processing billions of customer signals daily across 500+ brands, the gap between "we have the data" and "we can actually act on it" is where marketing performance lives or dies. Optimove closed that gap by building on Snowflake and Google Cloud. Zero-copy data sharing gives their clients instant access to the intelligence they need, while Dynamic Tables keep analytics continuously fresh without manual pipeline work. The infrastructure stays out of the way so the insights don't. The results speak for themselves: 19% better campaign performance, 33% increase in customer lifetime value, and 49% higher response rates. 👉🏻 https://bit.ly/4x5hbmi
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Shadow AI is one of the biggest security risks most enterprises haven't fully reckoned with: ungoverned agents built across multiple platforms, accessing critical data without the right identity and access controls needed to govern their actions. Saviynt SVP for Business Development Akhil Kapoor walks through how that risk plays out for joint customers, specifically how third-party agents can gain access to sensitive data and how Saviynt’s integration with Snowflake helps address that challenge. By evaluating agent intent, context, permissions, and risk at runtime, Saviynt helps ensure agents are authorized to perform the specific actions required for a task before they execute. Watch the full conversation 👉🏻
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Your AI strategy isn't stuck because of the model. It's stuck because of where the model lives relative to your data. We commissioned independent research with The Futurum Group, surveying 818 enterprise decision makers on what's actually blocking organizations from running autonomous AI at scale. The findings point to an infrastructure gap most teams aren't talking about yet. Swipe through for the key findings. Full report link in the first comment below.
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The results are in: the inability to write back to systems of record is a top blocker for roughly 1 in 4 enterprises, felt most acutely in Financial Services. Read-only agents stay advisory. Governed, closed-loop agents actually execute. Here's the architecture that closes the gap: https://bit.ly/4wLpsvr
Curious how your vote compares to 818 decision-makers? New research by The Futurum Group drops Thursday.
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Most places make you guess what it takes to build AI-native technology, but we prefer giving away the answers. Starting with how to nail your Snowflake interview. Once you’ve cracked the code (you’re welcome), here’s what you will be stepping into: Cortex AI Gateway making its debut, Snowflake World Tour as seen from Down Under, and a team of builders making the agentic enterprise look easy (connected and trusted). Sound familiar? 😉 Tap in for everything #LifeAtSnowflake in this month’s Snowcast.
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Pitch decks don't move the needle, running software in production does. 🤝 EY’s Julie Linn Teigland joins Snowflake’s Ryan Green on Data Cloud Now to break down how the EY-Snowflake alliance enables teams to deeply master the platform, ensuring customers enjoy a seamless implementation that brings enterprise AI to life instantly. Watch here 👉 https://bit.ly/4gxxwdo
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A new month, and new Snowflake AI features are available. But who has time to dig through release notes? Snowflake AI Pulse is back. In one session, our product team walks you through what just shipped — from the latest AI capabilities to updates in security and governance — and shows you how it works in real production workflows. Build faster. Stay compliant. And leave with a use case you can apply straight away. Register now.
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The next big leap in enterprise AI isn't replacing human judgment – it's empowering it 🧠 Debashish Nagendra Barai of Piramal Finance and Snowflake's Vijayant Rai breakdown how systems are driving smart decisions while keeping humans in the loop. By serving live Snowflake data directly to relationship managers, they are unlocking faster customer outcomes and driving real AI in action. Watch here 👉🏻 https://bit.ly/4zCzLVr
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Curious how your vote compares to 818 decision-makers? New research by The Futurum Group drops Thursday.