How Snowflake and Coalesce.io enable AI-ready data transformation

Way too often, governance comes in too late - when teams are already buried under technical debt and complex data environments. That’s why I loved this conversation between Snowflake’s Ryan Green and Coalesce.io’s CEO Armon Petrossian. They discuss how moving governance left and automating data transformation is essential to making data truly AI-ready. 🚀

There are too many failed data governance projects out there. There're two conditions for governance to ever deliver value: - Governance needs to be properly shared and communicated across business stakeholder. And AI completely changed the rules of the game here. - Governance needs not to live in the world of ideas & words. It needs to be embedded in the workflows, from day 1, while building your infra. Listen to Armon Petrossian talk at Snowflake Summit earlier this year to understand how Coalesce.io makes this work

The next generation of Data Engineers won’t be measured by how much code they write, but by how much business value they create - where the only measure of success is customer (business users) satisfaction. With Coalesce automation, they move beyond coding to become strategic enablers — delivering governed, trusted, and accelerated data products that empower the business at enterprise scale. What will their new title be? Thoughts?

Automated data transformation is the backbone of AI success 🤝. Watch below as our CEO Armon Petrossian speaks with Snowflake's Ryan C. Green in this conversation and showcase how a purpose-built platform accelerates value from data. Don't miss the full #DataCloudNow interview: https://lnkd.in/d97Jyp3u

Databricks vs. Dremio: Choosing Your Data Powerhouse 🚀 Navigating the data landscape often brings us to two titans: Databricks and Dremio. Both are formidable, but they cater to different needs in your data journey. Databricks: Your comprehensive workshop for building, refining, and applying AI to data. Dremio: Your high-speed data translator, providing instant access over existing sources for BI. Let's quickly compare!

Struggling to process massive datasets efficiently? KDnuggets’ article, 8 Ways to Scale Your Data Science Workloads explores clever techniques, from integrating BigQuery with Colab to leveraging AI agents in spreadsheets to scale your data pipelines smoothly. Dive into scalable workflows now! https://lnkd.in/dHwXPMNX

Exploring the Future of Intelligent Data at Snowflake World Tour    Last week, I had the opportunity to attend the Snowflake World Tour alongside Siddhartha Nigam, our brilliant Business Intelligence Manager and a driving force behind our data and analytics strategy.    While I don’t come from a technical background, I’m endlessly curious about how intelligent data and AI are reshaping the way we work. What struck me most during the keynotes wasn’t just the tech itself, but the transformative vision behind it:    🔹 Data to inform decisions: not just storing data, but interpreting it as it happens  🔹 Bridging silos: making insights instantly accessible across teams and geographies  🔹 Augmenting human expertise: using AI to surface patterns and opportunities we might otherwise miss    For commercial teams, this means sharper customer insights, a deeper understanding of market dynamics, and the ability to move with greater speed and precision.    The future of intelligent data isn’t on the horizon, it’s already here! It’s revolutionising how we connect with customers, collaborate across functions, and deliver impact.    Troy Burke Siddhartha Nigam Jeffrey Chow Hugo J. Serva R.   #DataIntelligence #AI #BusinessIntelligence #CustomerInsights #CommercialExcellence #Medtech #Innovation #BusinessIntelligence #Data

What if you could access AI-ready data products with ease? Our team explored how Snowflake's internal marketplace is designed to streamline access to these powerful resources. When I first encountered Snowflake's marketplace, I realized the potential it holds for developers at all levels. This feature fosters collaboration, enabling teams to share insights and tools seamlessly. By simplifying data accessibility, we empower everyone, from novice developers to seasoned data scientists, to leverage AI in their projects. The key takeaway? Embracing these innovative solutions can refine your approach to data-driven decision-making, driving efficiency across projects. I'm curious to hear how you all are integrating AI-ready data products into your workflows. Let's discuss your experiences and insights. #Snowflake #DataScience #MachineLearning #AIAccessibility #Collaboration #DataDrivenDecisions https://lnkd.in/gbs28hJ7