Cris Mercado’s Post

The Data Science Talent Landscape is Shifting! Snowflake's ML functionality adoption is up 67% since Cortex's public preview. This means more businesses can leverage the power of machine learning without needing a team of data experts on hand. Struggling to find top ML talent or looking for your next challenge? The CloudHive team can help you navigate the fast-evolving Snowflake landscape. Get in touch and see how: http://cloudhive.ai You can also register vacancies through our website: https://lnkd.in/edwDSBc4 #MachineLearning #Snowflake #DataScienceJobs #TechHiring #FutureOfWork

I WANT EVERYTHING... BUT KEEP IT SIMPLE. 💡 Heading into my 5th year at Snowflake and fully immersed in the AI wave that’s transforming the industry, I continue to be amazed by how our product team seamlessly balances our customers' desire for all the latest capabilities—especially those related to Generative AI 🤖—while maintaining the "easy to use" customer experience that made us stand out. It’s really not that simple. When I think about some of my customers' legacy architectures, there's a familiar pattern: everyone wants simplicity, but as new use cases emerge and new data formats appear, it starts to feel like a "noisy neighborhood" where new projects are delayed due to conflicts with existing ones. Marketing, Finance, Data Scientists, Sales, Corporate… Everyone wants access to their data, and they want to work with it their own way—from the most sophisticated users to those who need the data served up in the simplest format possible. And this is what I love about Snowflake ❄️. It's one platform. No extra licenses, no fragmented services to integrate. Everything is accessible in one place, always aligned with the value our customers are gaining from their use cases. The data sits in a single source, ready to be consumed by any department or role, whether it’s a startup, a cloud-native company, or a major corporation. It’s hard not to fall in love with such a powerful product. But sometimes, that’s the challenge. Keeping up with all the new product releases and use cases that are being unlocked can be overwhelming. That’s why we’re dedicating time and effort to bring all these product updates together in a single-day event, along with use cases shared by some of our top customers in the region. Join us in Madrid the next #October24th to check out last product capabilities, real time demos and our top in class customer success cases. #SnowflakeForumMadrid ❄️ Register your self here: https://lnkd.in/daTirdev Date: 24 de Octubre 📅 Place: Kinépolis Diversia Madrid 📍 🇪🇸 #AIRevolution #GenerativeAI #DataPlatform #SnowflakeForum #TechInnovation #CloudComputing #BigData #MadridEvent #DigitalTransformation #Snowflake #DataDriven

You might have seen multiple news in recent weeks about key developments in the tech industry: - Snowflake planning to release Polaris, an open-source catalog for Iceberg. - Databricks acquiring Tabular, a company founded by the creators of Iceberg, for over a billion dollars. - OpenAI acquiring RockSet to help companies transform their data into actionable intelligence. Both generative-AI-first companies and leading data platform companies are positioning themselves at the forefront of enterprise data solutions. In a blog post (link in the comments), we delve into: - The challenges of early monolithic systems and how they constrained business growth. - The revolutionary shift to open file formats and object storage. - The modern era of decoupling compute from storage, enhancing scalability and efficiency. - The rise of large language models and their impact on data analytics. Whether you're a data scientist, business leader, or tech enthusiast, this post offers valuable insights into how data platforms have evolved and what the future holds. 💡 We invite you to read, comment, and share your thoughts! How do you see these advancements impacting your strategies and operations? #DataScience #BigData #Analytics #TechTrends #Innovation #DataPlatforms

the pushups are like your Azure workspace don't just read the documentation . get your self a free 30 day , jump in your azure account. open your workspace start new notebook . take decision about your compute target . take decision about your data set or build one if you are strong enough and start your PUSHUPS.♥️♥️ all the best. follow me for more motivation tips to the lazy junior data scientists. #motivation #tips #help #ai #strong #junior #data

📣 You are going where? 🤖 Still doing AI/ML? 🚀 Yes!! - I joined Snowflake this week! 🎉   It's been an incredible two years at Hugging Face 🤗. I have had the privilege of working alongside so many amazing individuals, but I owe special thanks to Jeff Boudier, Nicholas Broad, Florent Gbelidji, and Taylor Linton. They convinced me that the leader in open-source AI, Hugging Face, could use my expertise.   During my time at Hugging Face, I contributed in various ways, from writing technical blog posts to conducting workshops and even helping close some monster deals 😉. Knowing I played a small part in the monetization team's success 💰💰💰 has been incredibly rewarding.   A persistent pain I see is when your data, compute, and models are in different infrastructure. Snowflake's vision of the “The Data Cloud”, where you have one layer that brings together data, compute, and AI/ML was mind-blowing for me 🤯. Snowflake is the market leader in making traditional data engineering workloads easy to do while staying performant. With their new capabilities 💪, I am looking forward to helping teams with their AI/ML workloads whether it's an XGBoost model or LLMs.   I will keep producing AI/ML-related content 🎥. It's not in the job description, but more of a compulsion I have.  Some of the folks at ❄️ who I know that I get to work with!!!: Miles Adkins Ahmad Raza Khan Teddy Lewis Jonathan Dahlberg Lee Satterfield Katy Chow Haynie Harsh Patel Oskar Eriksson Matt Marzillo Jonathan Regenstein Suresh Vadakath Jason Mills I am looking forward to meeting lots more of the Snowflake team at the Sales Kickoff next week. And if you are a customer or prospect who knows me, drop me a line, and I will do my best to help you out.

Two years. While it seems like just yesterday, it has now been two years since I left my 23+ year career at Microsoft for Databricks. A few things I have learned along the way: 1. There is no substitute for being in the trenches when it comes to innovation. Our customers are doing some amazing things with technology. And Databricks has an phenomenal culture of leading the way with products and services that are leading edge. This comes from being on the ground with thousands of data teams helping them solve real world problems. 2. Innovation sometimes feels like chaos. Coming from an organization with a strong legacy of process, I definitely have found that I got the start up experience I was looking for. Super exciting to create. At times a bit tiring. 3. The people in data and AI are some of the best in the industry. I still continue to believe that the intellectual power in this space is bar none. Every day I learn something new. I have the opportunity to work with some of the most genius talent - inside Databricks as well as at our customers. And I am super excited to see what's next together! Here I come Year 3! #dataandAIrevolution #womenintech #womenindata #celebration

Good summary of tech advancements.

Exciting times here Databricks as our company surpassed over $1.6B in revenue last FY and we are still growing at 50%+ YoY. As organizations of all kinds in every industry are starting to embrace the fact that "data is the new oil," and that "AI will change everything," we are seeing massive growth and demand for our #data #intelligence #platform. Are we hiring? Of course! You can check out all open positions here: https://lnkd.in/e6wzWqCf https://lnkd.in/gj336FXh #Lakehouse #Analytics #Databricks #AI #genai #artificialintelligence #bigdata

Snowflake Solutions Center = Your Secret Weapon for Industry-Specific Use Cases! You know how people LOVE using Snowflake Quickstarts to explore our amazing features? But here’s the thing – when it comes to tackling specific industry challenges or workload solutions, Quickstarts (https://lnkd.in/gcNMvddm) don’t cover it all. That’s where Snowflake Solutions Center comes in! What makes the Solutions Center special? It’s like Quickstarts on steroids. Not only do you get "how-to" guides, but you also dive deep into real-world use cases crafted by certified users, community members, and partners. Each solution is carefully reviewed by our FCTO before it’s published. ✅ Here’s why you’ll LOVE it: • 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆-𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀: From Healthcare to Financial Services.  • 𝗔𝗹𝗹-𝗶𝗻-𝗼𝗻𝗲 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗵𝘂𝗯: Get everything you need – 𝗱𝗲𝗺𝗼𝘀, 𝗚𝗶𝘁𝗛𝘂𝗯 𝗿𝗲𝗽𝗼𝘀, 𝗯𝗹𝗼𝗴𝘀, 𝗴𝘂𝗶𝗱𝗲𝘀, 𝗮𝗻𝗱 𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀.  • 𝗧𝗲𝗰𝗵 + 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 + 𝗗𝗲𝗽𝗮𝗿𝘁𝗺𝗲𝗻𝘁: Filter by tech (Cortex AI, Notebooks), industry (Manufacturing, Public Sector), or department (Marketing, IT). For example:  Check out “Olympic Games Analytics 🏆” (https://lnkd.in/gDgThBgK) – a demo-packed solution using Streamlit + Notebooks for analyzing sports data like a pro. Solutions Center is publicly accessible, but even many Snowflake employees don’t know about it. Let’s fix that! 😉 Big thanks to Vinut Shetty for sharing this amazing knowledge and helping me discover this hidden gem. 🙌 👉 Start exploring today: Snowflake Solutions Center (https://lnkd.in/gfZ-S9qC) ❄️💡 #DataEngineering #AI #SnowflakeSolutions #IndustryUseCases #SnowflakeCommunity #Quickstarts

🏂 ❄️ Let’s Drop the Next Mountain! 🏔️ ⛷️ 😀 I’m thrilled to announce that I’ve joined Snowflake - AI Data Cloud, working in Enterprise Strategic Accounts for LatAm, with a focus on the Brazilian territory. I’m excited to embark on this journey, joining this incredible team of experts passionate about solving Enterprise Data and AI challenges and driving innovation. As many of you have followed my entrepreneurial journey, you know I co-founded datajourney.ai to help companies in LatAm transition from traditional to modern data-driven businesses. Wearing multiple hats, from technical and sales to strategic roles, I navigated the challenges of early-stage product development. It was an incredible time for learning, and now it’s time to go further. Although I’ve stepped away from my executive role, datajourney.ai continues to thrive. I’ll continue to support this amazing project from afar, cheering on the team. Now, I look forward to bringing this experience to Snowflake and helping Brazilian companies in their data, apps, and AI journeys. ❄️ Snowflake, one of the most innovative and trusted Enterprise AI Data Cloud platforms, tested and approved by companies of all sizes globally, offers a unique approach to Enterprise AI Data Cloud. It is the perfect place to continue my journey in the data industry. 🏂 So, let’s drop the next snowy mountain and get this exciting ride started, making data-driven success a reality for businesses across Brazil and LatAm! 🏔️⛷️ #DataDriven #AI #EnterpriseAI #DataAnalytics #CloudComputing #DigitalTransformation #BusinessInnovation #LatAmTech #BrazilTech #MachineLearning #AIforBusiness #DataScience #TechLeaders #CIO #CTO #CDO #BusinessGrowth #Snowflake #DataJourney #TechInnovation #BigData #AIAdoption #FutureOfWork #DataModernization #ExecutiveLeadership