Craig Collier’s Post

Exciting news! 🎉 Say hello to the-changing #SnowflakeArctic ❄️ model! Joining the Snowflake family, the Arctic model offers cutting-edge AI capabilities at scale. It's part of Snowflake's lineup of top text-embedding models for various retrieval scenarios. Discover how this innovation is propelling AI progress for everyone:

Having used a host of embedded LLM models in Snowflake over the last few months, I can say the cost effectiveness and performance of our new Artic LLM in Snowflake is amazing. Every model I used prior required testing in order to weigh the performance to cost trade-off. And as we know, time = money. Glad to have that time back! A new era of enterprise AI is here, as we introduce our truly open, breakthrough large language model #SnowflakeArctic ❄️ Snowflake Arctic delivers top-tier intelligence with unparalleled efficiency at scale, and joins the Snowflake Snowflake Arctic model family, a family of models built by Snowflake that also include the best practical text-embedding models for retrieval use cases. Read more about how we’re accelerating AI innovation for all users:

AI made (among other offices) in Snowflake Poland by Łukasz Borchmann Filip Graliński Michał Pietruszka Michał Gdak Tomasz Stanisławek - wow!! Unveiling the next generation of enterprise AI with the launch of our revolutionary large language model #SnowflakeArctic ❄️ Snowflake Arctic is setting a new standard for powerful and efficient intelligence on a massive scale, joining the prestigious Snowflake model family crafted by Snowflake, including top-notch text-embedding models. Discover how we're driving AI progress for everyone! #SnowflakeArctic

Exciting news! Witness of a revolutionary enterprise AI age with the unveiling of #SnowflakeArctic ❄️ Join Snowflake in celebrating the arrival of a powerhouse of intelligence that sets a new standard for efficiency and scalability, alongside its Snowflake model siblings. Discover how we're propelling AI into the future for everyone 👏🏼🌟 #SnowflakeArctic

One of the best things about GoldenSource’s partnership with Snowflake is the ability it gives us to bring new innovations to our customers, fast. I’m very interested in this public version of #SQL #AI assistant, Copilot, from Snowflake, and how it’s going to enhance the functionality of the Mistral #LLM for users. New CEO Sridhar Ramaswamy is planting his flag firmly in the AI space, and - for me, at least - it’s absolutely the right strategy. #DataManagement #CloudData #EnterpriseDataManagement

Snowflake posted another impressive +29% YoY product growth, landing at $900M. What’s driving this momentum? A few possibilities stand out: ✅ Support for statistical workloads: R code execution directly on the platform—with governance and scalability baked in—solves a lot of headaches for data teams. ✅ The Datavolo acquisition: Enterprise support for Apache NiFi means better workflow orchestration, making AI pipelines more robust and scalable. ✅ A multi-year strategic collaboration with Anthropic: Snowflake’s work on Sonnet, a large language model comparable to GPT-4 but developed with a focus on ethical AI, adds weight to its AI ambitions. And that’s just the start. With countless announcements over the past days, it’s clear the market is starting to catch up to the value Snowflake is bringing to the table. #DataAnalytics #Snowflake #AI #ModernDataStack #EthicalAI

My first article for 2025. In this work, I presented a case for migrating from Open AI models to Snowflake-hosted LLMs for some ML workloads of our company to address both governance and performance requirements. #llm #genAI #datascience

✨ Excited to share my first blog! https://lnkd.in/gm-K3a84 The blog contains a detailed look at how we implemented Snowflake Snowpark for AI/ML applications at Peak. It dives into the pros, cons, and implementation methods that helped us optimize workflows and reduce costs. Would love to hear your thoughts!

An interesting article of open source friendly Datbricks vs Snowflake and what this means for AI . - Urgency for AI Adoption: 89% of C-suite executives rank AI as a top priority, but 90% are slow to act, risking falling behind in the AI revolution. - Focus on Specialized Models: Future AI may focus on smaller, specialized models rather than large-scale models, offering better performance at a lower cost (Databricks' focus on modular systems). - Open Source Advantage: Databricks' open-source approach gives it an edge, while Snowflake’s closed system is being challenged as open-source becomes more valuable -Multi-Agent Systems are the Future: AI innovation is moving toward systems where multiple models work together to solve complex tasks, rather than relying on single, large models (e.g., Databricks' Mosaic AI platform). https://lnkd.in/di62aqM7

We implemented a configurable #Snowpark backend to one of our applications. Snowpark has come a long way, and it offers considerable benefits when used as part of an AI pipeline. That said, it isn't a silver bullet, and we will wait to see how adoption goes, as well as how Snowpark evolves, before making a call on rolling it out to other apps. Check out the blog Sushant Singh has written on it below!