Snowflake

What happens when you layer 45 years of curated industry knowledge on top of your data? 🧠 Infosys and Infosys Topaz share how they turn massive data foundations into immediate business outcomes. Real-world results show modern utility infrastructure delivering enhanced customer service while manufacturers actively drive higher lead conversions. By putting this combined expertise into action, organizations secure the end-to-end data lifecycle to unlock differentiated outputs. 👉🏻 https://bit.ly/4p9Sd2I

Data engineering shouldn't swallow 80% of your time when patient lives are on the line. ⏳ Veeva Systems's Arno Sosna, Snowflake's Kelci Miclaus and Bio-Rad Laboratories' Erik Molitor join Data Cloud Now to share how OpenFlow connector for Veeva Vault completely removes complex pipelining friction points. This connects near real-time data straight to the AI Data Cloud so organizations can eliminate data bottlenecks and focus entirely on clinical outcomes. Watch here 👇 https://bit.ly/3T84aKo

We’re excited to bring the latest OpenAI models to Snowflake Cortex AI. 🚀 OpenAI GPT 5.6 is now available in private preview, giving teams access to advanced reasoning, coding and knowledge work capabilities within Snowflake’s secure, governed perimeter. Enterprise AI is about more than model access. It’s about giving teams powerful models where their data, workflows and context already live, so they can build AI apps, analyze multimodal data and power agentic workflows with confidence. Learn more: https://bit.ly/4h4Fmgj

❄️ The July Snow Report is LIVE ❄️ This month highlights 40+ on demand Summit sessions, a new Iceberg product update, and a packed event lineup to close out the summer. 🚀 What's new Iceberg v3 is now GA VARIANT semi-structured data in Iceberg with structured-level performance. Faster row-level deletes via deletion vectors. Row lineage for change data capture across engines. Your open lakehouse just got a serious upgrade. Best of Summit 2026 — on demand now Missed something in San Francisco? 40+ sessions are available on demand, including keynotes, product deep dives, and customer demos. 🗓️ Don't miss what's ahead • Jul 16: The Multi-Engine Architecture — stop building pipelines, start delivering AI • Jul 21: Snowflake AI Pulse: Latest Features & Releases in July • Jul 22: Power AI Agents with Continuous Streaming Data Pipelines • Jul 23: Modern Marketing Data Stack — how marketing leaders are rethinking their stacks for AI • Jul 30: Snowflake Connect: Latest Innovations, Real Business Impact ➡️ Watch the full report and catch the newsletter for everything in one place. https://bit.ly/4wz7zAt

Long-range planning is one of the most important exercises a finance team runs, but it is also one of the hardest to scale. At Snowflake, we’ve ditched the massive Excel sheets for a platform built on Snowflake and Streamlit. 🏆 By adding Snowflake CoCo, we’ve made planning conversational. Instead of manual maintenance, our team can now ask questions about the business in plain English, iterate in real-time, and focus on the strategy that actually matters. Learn more 👉🏻 https://bit.ly/4eTHxSE

ML Jobs in Snowflake Data Clean Rooms is now generally available, transforming how organizations build models together. 🛠️ Teams can now run distributed Python training and GPU compute directly across multiparty data without raw records ever leaving anyone's account. This unlocks the exact multi-organization feature sets needed to train advanced AI agents while keeping your proprietary model logic completely invisible to partners. Learn more 👉🏻 https://bit.ly/4eIx8HV

Zscaler compressed data science iteration cycles from days to hours. 🕒 A small marketing data science team built and shipped an end-to-end propensity model using Snowflake ML. They bypassed infrastructure bottlenecks by sharing a centralized Feature Store across teams. Notebooks and Workspaces maximized development velocity while Cortex Code fast-tracked their optimization. See how they did it 👉🏻 https://bit.ly/4vDJ8li

What was painful before AI that is now a breeze? 🛠️ We asked #SnowflakeSummit attendees how they are using AI to make their everyday easier. Check out what they shared with us, and drop in comments how AI has changed your workflow.

AI coding has entered its “everyone is experimenting” era. The teams that win will be the ones who turn that experimentation into a playbook. On Stack Overflow’s Leaders of Code, our SVP of Engineering Vivek Raghunathan shares how Snowflake is bringing more structure to AI-assisted development, from coding agents and shared AI design patterns to focus weeks and faster release validation. Because the goal isn’t just to write code faster. It’s to help engineering teams build, test and debug with more consistency, more confidence and less chaos. Catch the full conversation: https://bit.ly/44JDYbu

How do you drive 200%+ YoY growth in a mature strategic partnership? 📈 By keeping the focus entirely on customer outcomes. We are thrilled to celebrate Dataiku as our #1 AI/ML partner by platform consumption and Snowflake Marketplace revenue. Through innovations like Dataiku Cobuild on Snowflake, we are turning natural-language requests into production-ready AI workflows directly inside the AI Data Cloud. When technical depth meets a disciplined co-sell model, the friction disappears – and customers win. Check out the blog to see how Snowflake and Dataiku are redefining enterprise AI adoption: https://bit.ly/4v3WYwj