Snowflake

The @SAP + Snowflake partnership is now generally available 🚀 A new foundation for enterprise AI is here. Trusted SAP business data and semantics now come together with enterprise data in Snowflake through bidirectional, zero-copy integration. No pipelines. No duplication. Just AI powered by full business context. bit.ly/4u5sZV9

The “ClawFather” is taking the stage. @steipete, creator of @openclaw now part of @OpenAI, joins @RamaswmySridhar at Snowflake Dev Day to talk agent-driven software and what’s next for builders. This is the conversation you won't want to miss. June 4. San Francisco. Free. Join us: bit.ly/43EqAoy

Every team running AI at scale needs to address two challenges: 🎯 How do you know the output is correct? ⚡ How do you make AI efficient enough to run at scale? Our Snowflake AI Research team just published 5 papers with @BrownUniversity, @UCLA, @UChicago, and @ucsantabarbara tackling both for Cortex AI Functions. 👉Read the full breakdown: bit.ly/49Xk2Fa

How do you handle LLM safety once your AI app hits production? Snowflake Data Superhero Abhishek Mittal breaks down how Cortex Guard filters outputs inside Snowflake using Llama Guard 3, with a simple SQL or Python config in this post 👉 bit.ly/4fbp18I

Explore how graph queries work in Postgres with Apache AGE: bit.ly/42ZWgVm

Claude Opus 4.8 is now on Snowflake Cortex AI. As a launch partner with Anthropic, Snowflake brings Opus 4.8 to Cortex Code, Cortex Agents, Cortex AI Functions, and Snowflake Intelligence—all within Snowflake’s secure, governed AI platform. Learn more: bit.ly/4tVjl6l

Every company has invoices, contracts, and receipts sitting in cloud storage. The data inside is critical, but extracting it means stitching together OCR, writing brittle parsers, and maintaining it all when layouts change. 📄 CoCo takes you from raw documents to a structured, queryable table in a single prompt. ✅ Parses PDFs from any vendor layout using AI Extract ✅ Pulls vendor names, invoice numbers, line items, and totals automatically ✅ Loads everything into a Snowflake table ready to query The document processing pipeline you used to build by hand now comes from one prompt. 👇 Watch as one of our developer advocates, James Cha-Earley, walks through it in under 3 minutes. For more, check out the full video: bit.ly/4vywZ0L

How fast can you move from raw code to production? On the latest episode of @Codestrap_ai's podcast – CxC – our Head of Developer Experiences @umeshunni breaks down how Cortex Code acts as a data-native AI agent to accelerate modern engineering workflows. Catch the full episode: bit.ly/4wVirth

Today, Snowflake and @AWS are expanding our strategic collaboration to help enterprises move AI from experimentation into production. 🚀 As part of the agreement, Snowflake is making a $6B multi-year infrastructure commitment to AWS, our largest to date, to support growing demand for AI and data workloads. Together, we’re helping organizations bring AI directly to governed enterprise data, accelerate agentic AI adoption, and scale AI applications faster. Customers like @FetchRewards and @_hex_tech are already building AI-powered apps on Snowflake and AWS that drive real business outcomes. More here: bit.ly/43zAIPo

AI agents need more than data. They need business context and the ability to take action securely. That’s why today we are excited to announce our intent to acquire @natomalabs, the enterprise MCP platform for AI agents. Once closed, the acquisition is expected to help Snowflake Intelligence and Cortex Code connect enterprise data with the tools teams use every day from Slack and Jira to calendars and workflows. Trusted data. Real-time context. Governed AI action. More on the news: bit.ly/4fKuP9h

If you're in or around San Francisco, June 4, you won't want to miss this free event! Join us for Snowflake Dev Day to hear from an amazing lineup of speaker, access to hands-on labs, sessions and more on all the latest in on AI and data innovation. Claim your seat now: bit.ly/4u1C8NF

AI usage gets messy fast: multiple models, agents, teams, and rising costs. Snowflake Data Superhero Pierre-Mickaël Chancrin breaks down why governance is key for Cortex Code, from access control to cost management as usage scales. Take a look: bit.ly/3RCzXlW

#SnowflakeSummit is where you'll learn how to make AI real for your business 🧠 Join us this June to see exactly how leading companies are skipping the hype and deploying production-ready strategies live on the show floor. 👉🏻 bit.ly/4tOD2g8

Moving from SnowSQL to Snowflake CLI? It’s more than a syntax change. Snowflake Data Superhero Satish Tirumalasetti walks through setup, workflows, and how the CLI fits into modern dev patterns in this helpful guide: bit.ly/4dvACOJ

35,000 automated daily workflows keep the City of Austin moving on time. 🚍 By unifying complex transit and geospatial data inside the Snowflake AI Data Cloud, CapMetro eliminates manual bottlenecks. The result? Sharper accuracy, real-time rider updates, and effortless scale. 👉🏻 bit.ly/4tLYlyV

Early adopters at @Nasdaq eVestment are identifying new business prospects 10x faster and seeing a 20% to 30% lift in win rates. 📈 By putting AI-ready institutional data directly inside the Snowflake AI Data Cloud, Nasdaq eVestment built a Next Best Action agent that automates complex sales preparation in just a few minutes. Front-office teams can now ditch manual data cleanup and immediately scale their proactive coverage up to 3x using the exact same headcount. See how they did it 👉🏻 bit.ly/4tMifKc

As Iceberg becomes the standard, the real question is: which catalog owns your tables? With most catalogs, that choice is not easy to undo. The catalog becomes the source of truth for metadata, access control, and how every engine reads and writes your data. But what if you could have all of those critical capabilities without the lock in? Check out this guide on how to choose your interoperable catalog: bit.ly/43m42J3

Winning the global AI race takes more than powerful models. It takes trusted infrastructure, interoperable systems, and the ability to deliver the full stack at scale. In a new @dcexaminer op-ed, Snowflake's Matt Rose explores why AI exports are quickly becoming both an economic and national security priority for the U.S. and its allies. Read more👇 washingtonexaminer.com/op-eds/4569177…

Raw data is no longer enough to build intelligent AI agents. 🧠 Baris Gultekin joins Ryan Green to discuss why this deeper layer of understanding is the key to trusted results. Without these semantics, an AI model is simply guessing. Watch here 👉🏻 bit.ly/49IBME4

The path to an AI-driven government just got accelerated. Our new @usgsa / OneGov agreement makes the Snowflake AI Data Cloud up to 50% more cost-effective for federal agencies. This is about freeing up budget to focus on the work, not the maintenance. Read the details: bit.ly/4tR03PM