- Implementing Machine Learning Workloads in Snowflake
Snowflake offers multiple paths for ML workloads: Snowpark ML, Cortex ML functions, and in-database model training. Here is how to choose and implement each approach.
8 min - Project Snowwork: Snowflake AI for Business Users
Project Snowwork is Snowflake's autonomous AI platform for knowledge workers. Here is why it matters and what data teams should be watching as it develops.
7 min - Snowflake Cortex Code: The AI Agent Built for Your Data Stack
Cortex Code is Snowflake's agentic coding experience, purpose-built for data engineers, analysts, and platform teams working inside the Snowflake ecosystem.
10 min - Claude Opus 4.5 Now Available on Snowflake Cortex AI: Enterprise AI Made Simple
Discover how Anthropic's Claude Opus 4.5 integration with Snowflake Cortex AI brings enterprise-grade generative AI capabilities directly to your data warehouse with enhanced security and seamless accessibility.
7 min - Snowflake Semantic Views: Bridging the Gap Between Business Logic and Database Schema
Learn how Snowflake Semantic Views create an abstraction layer that translates complex database schemas into business-friendly concepts, enabling better AI and BI integration.
11 min - Is Your Data Ready for the EU Data Act? A 4-Step Guide Using Snowflake Cortex AI
Navigate EU Data Act compliance with confidence. Learn how data teams and compliance professionals can collaborate using Snowflake Cortex AI to automate discovery, governance, portability, and audit requirements in this practical 4-step framework.
17 min