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In 2025, Snowflake has rolled out some exciting changes that bring advanced data governance, better scalability, and powerful AI tools right into its core platform. The goal is to make managing data and building AI applications easier, faster, and more secure-all in one place.

Smarter AI Features for Everyday Work

Snowflake's Cortex AI has gotten major upgrades, letting you analyse unstructured data (like PDFs, documents, and images) using simple SQL commands. For example, Document AI can automatically pull-out tables from PDFs, turning messy files into clean, usable data. There's also better observability for AI apps, with no-code tools to monitor how your generative AI models are performing.

On the data ingestion side, Snowflake Openflow (built on Apache NiFi) simplifies bringing in multimodal data-like text, images, audio, or video-from various sources. It automates the process with secure connectors, so less time is spent on development and more on insights.

Bigger Scale and Better Performance

The Snowflake Horizon Catalog now covers more ground, including Iceberg tables and external data sources. Plus, there's a Copilot assistant that handles governance tasks in plain English, like classifying sensitive data. Machine learning helps auto-detect PII (personally identifiable information), making compliance simpler and reducing manual work.

The new Gen2 Standard Warehouses deliver up to 2.1x faster analytics on the same setup, with support for higher concurrency (up to hundreds of clusters running at once). Features like async scripting and short-lived tasks make real-time data orchestration possible without relying on external schedulers.

Stronger Data Governance and Consistency

New Semantic Views let you define key business metrics and relationships once, ensuring everyone-from AI models to BI dashboards-gets consistent results. No more debating what "revenue" really means!

Real Impact for Teams and Businesses

Data engineers will love the native dbt project support in Snowsight, complete with an AI Copilot to speed up pipeline building. Enhanced Iceberg integration and tools like SnowConvert AI make migrating to modern lakehouses smoother.

Overall, these updates help companies across industries run secure, scalable AI on their data-without the usual headaches of fragmentation or complexity. It's a big step toward making AI truly enterprise-ready. Snowflake is evolving into a single, cohesive platform that seamlessly unites data management and AI capabilities.