Snowflake

Scaling AI agents from pilot to production takes more than a better model. It takes a management structure built to support them. 🧭 The blueprint breaks down how leading data and AI teams are closing that gap between running pilots and actually operating agents at scale. It maps out what that requires: a clear job description for every agent, clean structured data to work from, and a human accountable for the outcome at every step. Read more 👉🏻 https://bit.ly/4AE0bGJ

Root cause found, service restored, and your traces still have plenty to say. 🔍 Engineers use OpenTelemetry logs, metrics and traces to fix production. Once that same data is connected to business data, it can also show customer impact, revenue at risk and long-term reliability trends. Observe, Inc. by Snowflake helps teams restore service faster, and Snowflake keeps that telemetry open, governed and ready for analytics and AI long after the incident ends. See what your telemetry can do next 👉🏻 https://bit.ly/4rK0USS

The barriers to using AI at work are coming down, one platform at a time. 🔓 At Pacific Life, that progression has moved from Document AI to Cortex Analyst and now Snowflake CoCo. The team uses CoCo to turn the insights they need into direct requests, asking the model and the tools to build the process for them, so the underlying data platform and the AI on top of it keep them efficient, responsive to customers, and ready to support the business ahead. Learn more 👉🏻 https://bit.ly/4y05xcS

Most enterprises are told to fix their data before starting AI. The ones pulling ahead have started anyway. We just published "Break the Sequence" a guide for CDOs, CTOs, CIOs and COOs who are told they need to finish data transformation before AI can begin. It explains why that rule no longer applies and how to move past it: Inside: -How to run AI in parallel with transformation, not after it -The architecture that makes governed AI work on distributed data -How to build the 90-day business case for your board The organizations winning with AI right now don't have better data. They have a different starting question: not "when will we be ready?" but "what can we prove this quarter?" Download now 👇 https://bit.ly/4dcvoqx

The strongest marketing workflows create a continuous feedback loop. With WRITER’s native connector built on Snowflake’s MCP Server, governed customer signals flow into campaign creation, and results return to Snowflake to inform the next move. Humans stay in control of what goes live. A strong example of connected data and AI in action.

Snowflake AI Pulse returns in October! ❄️ Skip the release notes and join our product team live. We'll be showcasing the newest AI features, running live production demos, and breaking down real-world case studies to help you accelerate your AI initiatives.

Microsoft is joining the Apache Ossie community, and shipping code to back it up. The new Power BI converter lets teams translate semantic models between Power BI, Microsoft Fabric, and Snowflake Semantic Views, without duplicating data or rebuilding metrics from scratch. Learn more: https://bit.ly/3VhkTw1

In financial services, AI without governance isn't an option. At Snowflake World Tour London, we announced an expanded five-year collaboration with LSEG. They're expanding their use of our AI Data Cloud across Markets, Data & Analytics, AI and Risk Intelligence – connecting trusted financial data with cloud-native AI so joint customers can apply analytics and AI within a governed environment. As Sridhar Ramaswamy puts it: "In regulated markets, trust isn't a barrier to innovation. It's the foundation for it." https://bit.ly/3VnhHPp

Your most expensive model shouldn't be doing your simplest work. 🧠 Snowflake's Mike Blandina shares what an AI control plane really means for enterprise AI. He breaks down managing models and token spend so you're never using a really expensive model for a really simple job, and why reconciling the same piece of data across three systems belongs in Horizon Catalog. Learn more 👉🏻 https://bit.ly/4rEb7jt

In sports, momentum doesn't wait. Neither does a good decision. ⚡ At Under Armour, using the power of sports to expand every playing field means giving leaders the right insight at the exact moment they need it, not after. The team found that spending more time pulling data than using it meant losing that moment, and once it passed, so did the chance to act on it. Learn more 👉🏻 https://bit.ly/4rek431