Building Snowflake Intelligence: Lessons From Bringing AI Into the Analytics Stack

Key Takeaways Snowflake Intelligence has strong performance out of the box, but a few strategic moves can take its performance over the top. Start with data readiness: clean, label, and structure your data before adding AI. Treat your AI tool like a product with a roadmap, phases, and a vision. Invest heavily in knowledge management. It’s what makes anContinue reading “Building Snowflake Intelligence: Lessons From Bringing AI Into the Analytics Stack”

How I Led My Organization’s Transition to a Cloud Data Warehouse (Snowflake)

When I first took on the challenge of modernizing our data management, our team relied heavily on Power BI’s semantic models. While this setup worked, it wasn’t sustainable. Data was scattered across our ERP, spreadsheets, and various SaaS platforms, and we struggled with long refresh times, manual data maintenance, and limited collaboration. Moving to aContinue reading “How I Led My Organization’s Transition to a Cloud Data Warehouse (Snowflake)”