Snowflake

Agentic AI is changing what's possible in cancer care. 🧬 Genomic sequences, pathology images and clinical notes are far more useful when they're reasoned over together. With governance built in from the start, agents can prepare tumor board briefs and find eligible trial patients in near real time. They can also shorten the path from real-world evidence to insight. Read more 👉🏻 https://bit.ly/4z0pYIc

The #SnowflakeStartupChallenge is back. 🔔 Last week, we celebrated our 2026 winner, LGND AI, Inc., with a bell-ringing ceremony at the NYSE. They went from early-stage startup to the NYSE trading floor, and the next winner could be you. Ready to apply? The Startup Challenge is open now. 🚀 https://bit.ly/4i8S5gO

Join us at Expedition 2026! We're bringing together builders, leaders, and practitioners to explore how to move from data to impact — faster. From AI-ready architecture to real customer stories, it's a session designed to give you ideas you can put to work immediately. If you're focused on getting more value from your data in 2026, this one's for you. Register today!

What if every pipeline failure came with a tested fix already waiting for review? 🔧 That's how our internal data team works today, and it's one step on our path to Autonomous Data Engineering. An AI agent investigates every monitored pipeline failure and will open a ready-to-review pull request in under 16 minutes on average when a fix is needed. A person still decides what ships. So far, hundreds of pull requests have been merged and more than 500 pipelines have been improved, saving the team time and credits. See how we built it👇 https://bit.ly/4i1Qw4u

Trusted AI answers start long before anyone builds an agent. ☑️ Klarent began by making sure every customer, policy and claim meant the same thing across the business, all defined once on Snowflake. Its engineers then built agents with Snowflake CoCo. Now teams across marketing, product, and support ask questions in Snowflake CoWork and get the same trusted answer to the same question. See how Klarent built its foundation first 👉 https://bit.ly/4hOz98l

XAI's Grok-4.7 and Z.ai's GLM-5.3 are now in public preview in Snowflake Cortex AI, adding two more options for coding, knowledge work and long-running agentic tasks. Both are available on Snowflake CoWork, CoCo, Cortex AI Functions, Cortex Inference, and Cortex Agents. With more models to choose from, teams can pick the right fit for each job and test it right next to their governed enterprise data.

Why was Snowflake named a Leader in the 2026 IDC MarketScape for Data Intelligence Platform Software? Three strengths were noted: 1️⃣ Native, unified governance within a broader data platform 2️⃣ Enterprise-grade resiliency and security 3️⃣ Deep partner ecosystem and industry alignment Swipe through for the details, and learn more here https://bit.ly/3VPsG4s

Giving every team access to AI works best when you can see everything it does. 🔭 Cortex AI Gateway, now in public preview, brings the models your teams use into one place. Platform teams choose which models are available and can see who's using them and at what cost. Every request is recorded inside your Snowflake environment, which makes it easier to keep AI spend predictable as usage grows. Explore the modern AI infrastructure stack 👉 https://bit.ly/3TGVk7j

A faster data warehouse migration starts with the decisions you make before moving a single table. 🧭 Drawing on hundreds of migration projects, we've mapped out a three-step methodology for moving to Snowflake. It covers choosing your approach, including a lift and shift that moves your critical assets off the legacy platform first so you can modernize from there. You'll also see why your migration partner should be involved from scoping and planning onward. Get the guide: https://bit.ly/3Uytf2d

Better personalization starts with faster, more accurate predictions.⚡️ Attentive moved the ML models powering personalized messages for 640M+ subscribers to Snowflake ML. By replacing a complex six-system stack with a single platform, they cut inference time from three to two hours – capturing late-arriving subscriber signals to deliver fresher, higher-converting recommendations. See how Attentive powers smarter messaging while slashing infrastructure costs by 30% 👇🏻 https://bit.ly/4B8B4vR