Unifying SAP and Snowflake data is a game-changer for enterprise AI. 🤖 Christopher Dinkel and Gil Gomez of Deloitte discuss how combining transactional data creation with governed management removes data movement friction. Now, joint customers can seamlessly feed live, unified data directly into AI models with total control and speed. Watch here 👉🏻 https://bit.ly/3S2Lbko
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
Locations
Employees at Snowflake
Updates
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Real-time data freshness shouldn't force you into a brutal cost trade-off. 📈 Thrive proved you can keep high-performance analytics scaling smoothly without ballooning the cloud bill. By engineering custom incrementalization directly into Snowflake Dynamic Tables, their team shifted to processing strictly modified data. The result? They cut auto-clustering costs by 99% while keeping their dbt lineage completely intact. Read the technical walkthrough here 👉🏻 https://bit.ly/3UgXUQZ
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Ready to move your AI initiatives from experimentation to real-world impact? Snowflake World Tour is coming to 23 cities worldwide with practical strategies for building, deploying, and governing AI directly on your data. Here's what's in store: 🔹 Hands-on sessions on Snowflake Cortex 🔹 Generative AI for the enterprise 🔹 Data governance in the age of AI 🔹 Customer stories showing what's possible 🔹 Connections with local data leaders and experts Discover new ways to turn your data into intelligent applications! Register today for a city near you! 📍 https://bit.ly/4hmdlRK
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Scaling a company from 100 to 500 employees without your data flow collapsing isn't easy 🚀 Silverfort connected their entire data lifecycle using Snowflake and Boomi to build a clean, AI-ready data foundation. The result? Unified GTM data and improved sales and marketing efficiency as the business expanded. Check out their journey: https://bit.ly/3TFm4Vi
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AI scales best when you empower your team to do more with the right tools. Giving teams flexibility with different clouds and models helps manage costs and keep things efficient 💪🏻 Tredence Inc.'s Sumit Mehra joins Snowflake's Thani Sokka to discuss AI Forge. The initiative equips 5,000 employees with AI tools to boost productivity across the company without shrinking the workforce. Watch here 👉🏻 https://bit.ly/3TIkBxq
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350+ CTOs gathered at Snowflake Summit to address one big question: how do you actually build an AI-native engineering org? 🤖 It takes more than deploying coding assistants. Moving from early adoption to true production scale requires rethinking your entire management philosophy, operational context, and team structures. Leaders shared their practical frameworks for navigating this shift while balancing speed with governance. Read the key takeaways from the CTO Circle 👉🏻 https://bit.ly/4hSBVtu
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Imagine slashing contract review times by 70% without touching your engineering backlog. ⏱️ Rigid AI black boxes usually collapse the moment an enterprise contract encounters a non-standard business term. Our Forward-Deployed Applied AI team solved this by building a three-layer agent that lets non-technical auditors update rules instantly. It turns messy order form PDFs into structured data while actively learning from human overrides to continuously improve accuracy. Learn more 👉🏻 https://bit.ly/4bssKfA
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Weak data infrastructure sabotages enterprise AI before it starts. 🧱 Alice Anson joins Snowflake’s Ryan Green on Data Cloud Now to break down how Nectar360 overhauled their data architecture to make it fully usable and interoperable. By building solid data foundations, they unlocked seamless data clean room partnerships and accelerated their long-term business value. Watch here 👉🏻 https://bit.ly/3RQ7idK
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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 Salesforce, Snowflake, and over 10 other everyday apps. Discover how they cut time to value and scaled with confidence. https://bit.ly/3RSLLAZ
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Are you ready to move from simple AI co-pilots to truly autonomous agents? 💡 Jedify's Assaf Henkin joins Snowflake Ventures to break down how businesses can fuse structured and unstructured data to drive agentic solutions. AI applications must capture the rich context across every department to avoid leaving the full business story untold. Watch here 👉🏻 https://bit.ly/4yW7J6Z