The AI Data Cloud where data does more, and proud to be the Official Data Collaboration Provider for LA28 and Team USA.
In the ☁
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Sky’s the limit when you launch your career in the AI Data Cloud. ☁️
Just ask Snowflake’s interns. From leveling up fast with leading enterprise AI tools to impactful work actually defining the AI era, it’s an internship to remember (and one you’d want to do again).
Whether you’re coming back for more or want to experience #LifeAtSnowflake for the first time, spring 2027 internships are now open: bit.ly/4iyvEUd
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Adding a new entity type to a knowledge graph usually means changing the schema.
Snowflake Data Superhero Satish Tirumalasetti shows a metadata-driven approach on Snowflake: KG_NODES + KG_EDGES store the graph, while a stored procedure generates typed views.
See the implementation: bit.ly/3Vd9A80
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Streamlit in Snowflake Workspaces separates editing from publishing.
Run changes privately in a development app. When they’re ready, deploy them to the Streamlit object your users access.
Collaborate through Git-backed or shared workspaces: bit.ly/4iEzxXQ
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.@Get_Writer + Snowflake – a closed loop that compounds with every campaign. With WRITER's MCP connector – powered by Cortex Agents – governed segments, LTV scores, and churn signals go straight from Snowflake into the hands of every marketer, not just the data team. Briefs, assets, copy, campaigns – all generated on-brand, on-policy, and on the data your org already trusts. Customer's like Beautypie are already seeing it transform their marketing campaigns.
WRITER + Snowflake = your data, straight into campaigns 💪
Our native Snowflake connector, built on @Snowflake's MCP Server, pulls live governed data straight into WRITER, so segments, LTV scores, and churn signals land in every marketer's hands, not just the analysts.
From there you generate the brief, the assets, the landing pages, and the copy, all on-brand with voice, approved terms, and compliance baked in.
Once the campaign is live, results land back in Snowflake alongside the rest of your governed data. WRITER uses that full picture to spot what's converting, where spend is leaking, and who's fatiguing, then recommends the next move. A human approves, and WRITER puts it into action.
More here: writer.com/product/snowflake…
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Intelligence is only half the job. Acting on it safely is the other half. ⚙️
@Xero's James Hsu joins Snowflake's Anahita Tafvizi, sharing why AI agents need governance like access control and masking built in natively, not bolted on. Watch here 👇 bit.ly/4hpxlRE
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More model choice means more flexibility to match the right model to each task.
Kimi K3, Moonshot AI’s open-weight model, is now in private preview on Snowflake Cortex AI for coding, research, and analytical workflows.
Learn more bit.ly/3TTxntj
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The best AI doesn't move your data to the model. It runs the model where the data lives.
That's what @_PowerDigital_ and @thoughtspot are doing with Snowflake on @AnthropicAI's Claude Marketplace – governed AI, grounded in business context, inside the platform their teams already trust.
You can now discover tools, agents and expert partners on Claude Marketplace. Use it to:
- Add connectors and plugins like Slack and Notion
- Buy agents and products from companies like Cursor and CrowdStrike
- Scale with service partners like Accenture and Deloitte
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PostgreSQL 19 is delayed after 53 reverts since beta began.
One example: GROUP BY ALL was pulled after post-commit review found it could produce wrong results.
That isn’t beta failing. It’s beta doing its job. See what was reverted, what remains at risk, and what is still expected to ship: bit.ly/3TR1y4l
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Most retailers run BI and advanced analytics on two separate systems. @UnderArmour runs both on one. ⚡
Jeff Leineweber, Director of Data Platform Engineering, shares how that let his team move faster and share data across their ecosystem in a fraction of the time. See how 👇 bit.ly/4hl6pT5
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Turn an existing data share into a conversational experience.
Auto-gen Agents for Shared Data creates a Semantic View + Cortex Agent from share metadata and your listing description, with no modeling required.
Dive into this quickstart: bit.ly/47ersC8
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Next up: startup stories from inside the Hub. Ivan Lee (Founder & CEO, @datasaurai) and @krmayankb (Founding AI Engineer, @DeepTempo_AI) on what it's actually like to build from the Hub. #SVAIHub
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.@DeepTempo_AI started with a whiteboard at the #SVAIHub. They went on to land BNY and Deutsche Telekom as early customers, win the Snowflake Global Startup Challenge, and get featured on the NYSE. #SVAIHub
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Attackers are already using AI to conduct attacks. Defenders are still stuck with tools built for a much lower era. @krmayankb of @DeepTempo_AI on what they're building to close that gap. #SVAIHub
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Ivan Lee presented at the Hub. Someone in the audience saw the same vision around private AI. They built a partnership. It's led to six figures in revenue. This is what showing up looks like. #SVAIHub
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"Before this, I'd go to a random coffee shop and work alone. Being around other founders working just as hard on their ideas gives me that extra energy." Ivan Lee, Founder & CEO of @datasaurai. #SVAIHub
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Panel time. "Build Together: The Advantage of Community in AI" – live at the #SVAIHub anniversary with @jowyang, @gracegongGG, Sheena Tu, and Swagata Ashwani. 🎙️
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Silicon Valley will leave people behind if we don't bring them in. Sheena Tu on why Tech Equity AI is expanding AI education to veterans, students, and communities outside the tech bubble. #SVAIHub
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Swagata Ashwani built Women in Data because she looked around at leadership tables and barely saw any women. The community is now 30,000 members strong and global. #SVAIHub
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.@gracegongGG on the importance of the community – It's different when the person next to you shows you their actual workflow. #SVAIHub
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