Snowflake retweeted
We are in the midst of a once-in-a-lifetime technology shift, and @Snowflake sits right at the center of the AI revolution.
Our Q2 results reflect the incredible speed and urgency with which our team is executing:
📈 Product revenue reached $1.49B (+37% YoY)
🤝 692 net customer adds
❄️ 14,554 total customers on the AI Data Cloud
↔️ Non-GAAP operating margin up 400+ bps YoY to 15%
Grab the podcast of #CXOTalk ep. 903 w guest Christian Kleinerman, EVP, @Snowflake.
Topic: Hard Truths on #AgenticAI - Readiness, Governance, & #AI Economics
open.spotify.com/episode/1Id…
Take measured steps (POCs) + corrective steps before scaling it.
#Data #EnterpriseAI #AIagents #COO #Snowflake
Snowflake retweeted
CoCo is quickly becoming a force multiplier for our customers and partners alike.
They're not just experimenting. They’re transforming how work gets done.
The speed, the productivity gains, the shift in how teams build—it’s real, and it’s happening now.
Don't take my word for it:
— Trent Foley of @letsevolv: Cortex Code has become the core infrastructure for how we scale and drive adoption. A single integration session executed 2,500 automated actions... that's 5-8x productivity. Weeks of manual development happening in hours.
— Leading Automotive Dealership Group: We’ve been digging away with shovels for years, and now Snowflake just showed up with excavators. It’s easily the most practical and well-developed AI tool we’ve seen.
— Vibhor Gupta of @Shelter_Ins: Cortex Code reduces friction in everyday data and AI development while maintaining the oversight we need in a regulated environment.
Snowflake retweeted
Will AI disrupt the data platform?
What we are seeing at @Snowflake is the opposite: AI is accelerating our business.
Just nine weeks ago, we launched Cortex Code, our data coding agent. Today, 50% of our customers are using it, making Cortex Code the fastest adopted product we’ve ever launched.
That’s the power of building something customers truly need.
Users are not only more productive with Cortex Code, but crucially, they are also choosing to do more with their data. Using Cortex Code, early adopters, on average, increased their consumption of Snowflake by 11%!
This is what happens when AI is deeply integrated into the place where data work already lives. It does not replace the platform. It makes the platform dramatically more powerful.
Very proud of the team for the speed of execution, and even more excited by the customer response.
Snowflake retweeted
We’re entering the era of the agentic enterprise.
AI is moving beyond generating insights → to taking action across the business.
The real competitive advantage will come from grounding intelligence in trusted data, governance, and enterprise context and embedding it directly into workflows.
This requires a new architecture connecting:
▶️ Enterprise data
▶️ AI models
▶️ SaaS & applications
▶️ A control plane for governed AI action
@Snowflake is uniquely positioned to power this shift.
My thoughts on what comes next 👉 snowflake.com/en/blog/agenti…
Snowflake retweeted
Proud of the @Snowflake team. ❄️
Q4:
📈 $1.23B product revenue, +30% YoY
📊 $9.77B RPO, +42% growth
🔄 125% NRR
🤝+740 net new customers, +40% YoY
AI’s promise became real this year, and Snowflake remains at the center of the enterprise AI revolution.
430+ new capabilities launched in FY26. Over 9,100 accounts using our AI products. Snowflake Intelligence + Cortex Code seeing the fastest adoption ramp in company history, w/ Cortex Code already in use with 4,400+ customers.
Just getting started. 🚀
👉investors.snowflake.com/news…
Snowflake retweeted
💡 @Snowflake CEO Sridhar Ramaswamy gave insights on the untapped potential of GPUs in data computation and why we are only in the "early innings" of how accelerated computing will transform the way we process enterprise data at scale.
Watch the conversation from NVIDIA Live: Setting the Stage ➡️ nvda.ws/4qd81Rd
Snowflake retweeted
.@snowflake CEO @RamaswmySridhar at #AxiosHouse in Davos:
"In terms of good bubbles and bad bubbles, if this bubble results in a reinvigoration of the power sector ... that's actually a net positive for all of us."
Snowflake retweeted
Snowflake is at the center of the enterprise AI revolution, and our Q3 results show the momentum.
📈 Product revenue up 29% YoY to $1.16B, with RPO at $7.88B (37% YoY).
💡 Snowflake Intelligence marks our fastest product adoption ever, helping @TSImagine_ , @Fanatics & @USABS + over a thousand more customers harness agentic AI.
🤝 Expanding impact through partnerships with @AnthropicAI, @SAP, @awscloud, @Accenture, @Workday, @PalantirTech, @splunk & @UiPath.
🚀 370 Product launches YTD (35% YoY), a record 615 new customers, and 40K+ #SnowflakeWorldTour attendees (40%+ YoY).
The best is yet to come. ❄️❄️❄️
investors.snowflake.com/news…
Snowflake retweeted
The MOST expensive AI mistake enterprises make?
Believing secure AI = useful AI
You’ve locked your data down so tight, even YOUR AI can't use it.
Don't choose safety over innovation. Why not have both?
@Snowflake #SnowflakePartner #SnowflakeBUILD
Snowflake retweeted
I attended #SnowflakeBUILD last week! They just announced their new Snowflake Intelligence tool. 🤯
This can be used across any role and any industry. It parses through your data AND acts on it.
Try it out here 👇
snowflake.com/en/blog/snowfl…
#SnowflakePartner @Snowflake #AI
Snowflake retweeted
Data Scientists: Snowflake now natively integrates NVIDIA #CUDA-X data science libraries for game changing acceleration.
⚡ Up to 200x faster: see massive performance gains for ML algorithms like TSNE, HDBSCAN and UMAP using NVIDIA cuML
🔢 No code changes: access GPU-power using your existing pandas and scikit-learn code in Snowflake Notebooks
🏗️ Efficiency + scale: use NVIDIA cuDF and cuML to speed up model development cycles with large data
Read the blog by @Snowflake and NVIDIA PM’s and learn how easy it is to supercharge your ML workflows: snowflake.com/en/blog/nvidia…
See Snowflake’s developer guide to get started: snowflake.com/en/developers/…
Snowflake retweeted
Your company blocked AI agents for "security" reasons? But what if there's a secure enterprise agent?
Meet @Snowflake Intelligence. Get access to insights WITHOUT the data team.
Next up: 3 cool security benefits in Snowflake Intelligence!
#SnowflakePartner #SnowflakeBUILD
Snowflake retweeted
The future of AI isn’t just about prompts, it's got to be rooted in data!
I got an exclusive look at the new agent, @Snowflake Intelligence, that's already growing companies 100x.
Here's how it can help you too, check it out: snowflake.com/en/blog/snowfl…
#SnowflakePartner
Snowflake retweeted
The biggest AI mistake enterprises are making?
Believing "Secure" AI = "Useful" AI
You see AI doing magic online → You try your company's AI → Can't even access last quarter's data
Here's the thing...
@Snowflake #SnowflakePartner #SnowflakeBUILD
Snowflake retweeted
Everyone says “AI isn’t safe for the enterprise.”
@Snowflake just proved you can have innovation and security – no
compromises – with its enterprise intelligence agent.
Check it out: snowflake.com/en/product/sno…
#SnowflakePartner #SnowflakeBUILD #DataSecurity #enterpriseai #ai
Snowflake retweeted
Today at #splunkconf25, we unveiled a new integration that empowers organizations to seamlessly connect, query, and combine operational business data across Splunk and @Snowflake environments.
See how this underscores @Cisco's commitment to fostering an open data ecosystem.👇
Snowflake retweeted
Before GenAI, prototyping an app, especially one powered by data or AI, meant hours of setup and boilerplate code before you could even test your idea.
In this clip from the course Fast Prototyping of GenAI Apps with Streamlit, you’ll see how that changes. Watch how GenAI flips the development process, so instead of planning every step in advance, you start with intent and get working code in seconds.
Learn to prototype faster, test more ideas, and go from concept to app.
👉 Take the course here: deeplearning.ai/courses/fast…
@Snowflake @thedataprof
Snowflake retweeted
💬 In this conversation, Andrew Ng and Chanin Nantasenamat (aka The Data Professor) discuss how generative AI is reshaping the developer mindset — from over-planning to fast prototyping and early feedback.
If you’re ready to test ideas faster, build with real data, and deploy GenAI apps that evolve through iteration, the Fast Prototyping of GenAI Apps with Streamlit course will show you how.
Learn more and enroll now → hubs.la/Q03GhWj90




























