𝐘𝐨𝐮𝐫 𝐥𝐞𝐠𝐚𝐜𝐲 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐰𝐚𝐬 𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐫𝐞𝐩𝐨𝐫𝐭𝐬. 𝐍𝐨𝐭 𝐟𝐨𝐫 𝐀𝐈. 𝐓𝐡𝐚𝐭 𝐠𝐚𝐩 𝐜𝐨𝐬𝐭𝐬 𝐲𝐨𝐮 𝐦𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐲𝐨𝐮 𝐭𝐡𝐢𝐧𝐤. Andersen Lab is now a Snowflake Registered Technology Partner. 🤝 Here’s what changes for your team: 🔸 We migrate legacy warehouses to Snowflake. Structured, semi-structured, historical data – all of it. 🔸 Snowflake Cortex runs LLMs directly on your data. Nothing leaves your perimeter. 🔸 Role-based access, masking, and audit trails – built in, not bolted on. Siemens, AT&T, and Western Union run on Snowflake. Your competitors might too. The longer you wait, the further they pull ahead. What's the one thing your current stack can't do? #𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 #𝐃𝐚𝐭𝐚𝐌𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 #𝐀𝐧𝐝𝐞𝐫𝐬𝐞𝐧 #𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩 #𝐀𝐈𝐃𝐚𝐭𝐚
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Legacy stacks kill AI potential. Andersen + Snowflake = data that actually works for you. Time to migrate? ❄️🚀
𝐘𝐨𝐮𝐫 𝐥𝐞𝐠𝐚𝐜𝐲 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐰𝐚𝐬 𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐫𝐞𝐩𝐨𝐫𝐭𝐬. 𝐍𝐨𝐭 𝐟𝐨𝐫 𝐀𝐈. 𝐓𝐡𝐚𝐭 𝐠𝐚𝐩 𝐜𝐨𝐬𝐭𝐬 𝐲𝐨𝐮 𝐦𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐲𝐨𝐮 𝐭𝐡𝐢𝐧𝐤. Andersen Lab is now a Snowflake Registered Technology Partner. 🤝 Here’s what changes for your team: 🔸 We migrate legacy warehouses to Snowflake. Structured, semi-structured, historical data – all of it. 🔸 Snowflake Cortex runs LLMs directly on your data. Nothing leaves your perimeter. 🔸 Role-based access, masking, and audit trails – built in, not bolted on. Siemens, AT&T, and Western Union run on Snowflake. Your competitors might too. The longer you wait, the further they pull ahead. What's the one thing your current stack can't do? #𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 #𝐃𝐚𝐭𝐚𝐌𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 #𝐀𝐧𝐝𝐞𝐫𝐬𝐞𝐧 #𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩 #𝐀𝐈𝐃𝐚𝐭𝐚
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Legacy warehouses were built for static reports, not for AI workloads. That's the gap Snowflake closes 🤝 Proud to see Andersen Lab formalizing the partnership. Moving data closer to where intelligence happens without sacrificing security is what modern data stacks actually need 🔐🚀
𝐘𝐨𝐮𝐫 𝐥𝐞𝐠𝐚𝐜𝐲 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐰𝐚𝐬 𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐫𝐞𝐩𝐨𝐫𝐭𝐬. 𝐍𝐨𝐭 𝐟𝐨𝐫 𝐀𝐈. 𝐓𝐡𝐚𝐭 𝐠𝐚𝐩 𝐜𝐨𝐬𝐭𝐬 𝐲𝐨𝐮 𝐦𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐲𝐨𝐮 𝐭𝐡𝐢𝐧𝐤. Andersen Lab is now a Snowflake Registered Technology Partner. 🤝 Here’s what changes for your team: 🔸 We migrate legacy warehouses to Snowflake. Structured, semi-structured, historical data – all of it. 🔸 Snowflake Cortex runs LLMs directly on your data. Nothing leaves your perimeter. 🔸 Role-based access, masking, and audit trails – built in, not bolted on. Siemens, AT&T, and Western Union run on Snowflake. Your competitors might too. The longer you wait, the further they pull ahead. What's the one thing your current stack can't do? #𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 #𝐃𝐚𝐭𝐚𝐌𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 #𝐀𝐧𝐝𝐞𝐫𝐬𝐞𝐧 #𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩 #𝐀𝐈𝐃𝐚𝐭𝐚
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Excellent news. The security aspect of keeping data within the perimeter is a massive advantage for enterprises. Solid partnership with Andersen! 🤝
𝐘𝐨𝐮𝐫 𝐥𝐞𝐠𝐚𝐜𝐲 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐰𝐚𝐬 𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐫𝐞𝐩𝐨𝐫𝐭𝐬. 𝐍𝐨𝐭 𝐟𝐨𝐫 𝐀𝐈. 𝐓𝐡𝐚𝐭 𝐠𝐚𝐩 𝐜𝐨𝐬𝐭𝐬 𝐲𝐨𝐮 𝐦𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐲𝐨𝐮 𝐭𝐡𝐢𝐧𝐤. Andersen Lab is now a Snowflake Registered Technology Partner. 🤝 Here’s what changes for your team: 🔸 We migrate legacy warehouses to Snowflake. Structured, semi-structured, historical data – all of it. 🔸 Snowflake Cortex runs LLMs directly on your data. Nothing leaves your perimeter. 🔸 Role-based access, masking, and audit trails – built in, not bolted on. Siemens, AT&T, and Western Union run on Snowflake. Your competitors might too. The longer you wait, the further they pull ahead. What's the one thing your current stack can't do? #𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 #𝐃𝐚𝐭𝐚𝐌𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 #𝐀𝐧𝐝𝐞𝐫𝐬𝐞𝐧 #𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩 #𝐀𝐈𝐃𝐚𝐭𝐚
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Honestly, most legacy warehouses weren't built for what you're trying to do now. They're great at reports but terrible at AI, and that gap is quietly bleeding your budget and your team's sanity. That's why I'm genuinely excited to see Andersen Lab become a Snowflake Registered Technology Partner, not for the logo but because it fixes something real, like running LLMs directly on your data without moving it anywhere. Security, speed, and sanity all there. So here's my question: what's the one thing your current stack can't do, and how long are you willing to wait? 👇
𝐘𝐨𝐮𝐫 𝐥𝐞𝐠𝐚𝐜𝐲 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐰𝐚𝐬 𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐫𝐞𝐩𝐨𝐫𝐭𝐬. 𝐍𝐨𝐭 𝐟𝐨𝐫 𝐀𝐈. 𝐓𝐡𝐚𝐭 𝐠𝐚𝐩 𝐜𝐨𝐬𝐭𝐬 𝐲𝐨𝐮 𝐦𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐲𝐨𝐮 𝐭𝐡𝐢𝐧𝐤. Andersen Lab is now a Snowflake Registered Technology Partner. 🤝 Here’s what changes for your team: 🔸 We migrate legacy warehouses to Snowflake. Structured, semi-structured, historical data – all of it. 🔸 Snowflake Cortex runs LLMs directly on your data. Nothing leaves your perimeter. 🔸 Role-based access, masking, and audit trails – built in, not bolted on. Siemens, AT&T, and Western Union run on Snowflake. Your competitors might too. The longer you wait, the further they pull ahead. What's the one thing your current stack can't do? #𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 #𝐃𝐚𝐭𝐚𝐌𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 #𝐀𝐧𝐝𝐞𝐫𝐬𝐞𝐧 #𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩 #𝐀𝐈𝐃𝐚𝐭𝐚
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As data grows, managing performance, cost, and governance becomes more complex. Scaling Snowflake effectively requires the right balance of optimization, control, and expertise. Boolean Data helps organizations optimize Snowflake environments for scale—improving performance, controlling costs, and implementing strong governance frameworks. Scale smarter with Snowflake: https://lnkd.in/gBA87-Yu #Snowflake #SnowflakeOptimization #CloudCost #DataGovernance #DataEngineering #BooleanData
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Invest in a shiny new platform? Or a proven data solution? How do you even decide? DAS42 Principal Consultant Jeff Springer's test: Does it create meaningful, measurable impact on human productivity? "It has to increase productivity in a meaningful and measurable way. It has to impact people's lives." Don't get distracted by bells and whistles. Stick with real value. Snowflake Snowflake Partner Network #TechAdoption #Snowflake #EnterpriseAI
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Every collections company claims some use of AI now. It's becoming table stakes. As a result, it's becoming more important for lenders to ask: What does the underlying infrastructure look like and who built it? Be weary of vendors with thin answers. What data is feeding their models? Most agencies bolt point solutions onto weaker datasets. January's models learn from 1B+ borrower interactions. Tyler Gillies nails it, MLOps is what turns a good model into one that actually improves every month. Infrastructure from experiment to production to continuous improvement. January doesn't outperform because we use AI. We outperform because we built the data engine that makes AI work in collections years ago.
January was founded to address one of the thorniest areas of consumer finance. Jake Cahan's thesis was straightforward: better technology leads to a more effective AND more human approach to debt collection. But building a team that can execute isn't easy. When I’m asked about January’s differentiation, I start by describing the infrastructure beneath our collections strategy and my coworkers that built it. Our platform collects and unifies previously fragmented data to power machine learning models that personalize every consumer interaction across channel, content, timing, and offer. We've built the infrastructure to take those models from idea to experiment to production, and keep them improving over time. That's known as MLOps, and it's what enables good outcomes to compound for our clients and their consumers. Now, January’s infrastructure is being recognized alongside some of the biggest names in tech. In June, my colleague Thomas Brink is speaking at Snowflake's Summit — one of the largest data and AI conferences in the world — on how January has built MLOps best practices inside the Snowflake environment with machine learning projects from experimentation to deployment. Speaker selection was highly competitive, and Snowflake flagged us as one of the most sophisticated early adopters of their platform. Here's the session: https://lnkd.in/etPSraeQ Shoutout to Christine Commeignes and Gerhard Nordemann for their early work building our analytics infrastructure to get us to where we are today! If you want to work alongside impressive people like these, we're always hiring!
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Managing assets for thousands of customers across a complex multi-entity ecosystem, 360 ONE turned to Snowflake for a unified data view to drive deeper client trust. ⚡️ Today, Snowflake has empowered 360 ONE to offer real-time, personalised portfolio insights for their customers and has helped the company overcome scalability constraints and manual infrastructure management. Watch the full story to see how 360 ONE leveraged Snowflake to turn data into insights and the ultimate evidence of trust. 👉🏻 https://bit.ly/3PiMqKw
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360 ONE Powers Data-Driven Wealth Management and Client Trust With Snowflake In a space defined by complexity, the real advantage comes from delivering clarity, personalization, and trust at scale. With Snowflake, 360 ONE Wealth has: - Unified data across a complex ecosystem to create a true single source of truth - Enabled real-time insights for both advisors and clients - Delivered more personalized, data-driven client experiences - Shifted focus from infrastructure to high-impact analytics and innovation By bringing everything onto a single platform, 360ONE is turning data into a strategic asset — driving better decisions, deeper engagement, and long-term value. A strong example of how the Snowflake Data Cloud + AI is reshaping financial services. Santoshi Kittur Bhushan Sonkusare Devendra B. Sahil Shaikh Rajat Tiwari #dataandai #snowflake #financialservices Vijayant Vasudeva Sameer Pravin Abhishek Kanchan Brijesh Abhilash Arun Saraswathi Hemant James
Managing assets for thousands of customers across a complex multi-entity ecosystem, 360 ONE turned to Snowflake for a unified data view to drive deeper client trust. ⚡️ Today, Snowflake has empowered 360 ONE to offer real-time, personalised portfolio insights for their customers and has helped the company overcome scalability constraints and manual infrastructure management. Watch the full story to see how 360 ONE leveraged Snowflake to turn data into insights and the ultimate evidence of trust. 👉🏻 https://bit.ly/3PiMqKw
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Watch this demo https://lnkd.in/eNjvBCsm if you need a comprehensive overview of what Snowflake Intelligence delivers. Our expert demonstrates how to turn raw data sets into actionable insights within a single platform and how Snowflake consolidates scattered data, ensures governance, and caters to both technical and non-technical users through AI-native functions. #makedatamatter #Snowflake #Keyrus
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1wCongrats team!