Snowflake’s AI innovations aren’t just about fancy queries—they’re making enterprise workflows smarter, BI models easier, and data science more accessible.
Let’s explore three underrated but powerful features from the latest announcements that deserve your attention.
🔁 Snowconvert AI: Migration, Now With Intelligence
We all know that migrating from legacy systems like Oracle, Teradata, or Netezza is painful. But Snowconvert AI makes the process less like a dental appointment and more like a digital therapist for your SQL.
It:
- Scans your existing code
- Understands the underlying logic
- Suggests AI-powered rewrites in Snowflake SQL
This isn’t just translation—it’s context-aware transformation. Perfect for teams looking to modernize faster and with fewer human errors.
Read more at – https://www.snowflake.com/en/migrate-to-the-cloud/snowconvert-ai/
📊 Automatic Semantic Model Generation: From Raw to Ready
If you’ve ever spent days (or weeks) building semantic models—setting up joins, hierarchies, measures, and dimensions—you’re going to love this.
Snowflake now uses AI to automatically generate semantic models from your raw data.
That means:
- Suggested metrics and dimensions
- Pre-mapped relationships
- Near-instant dashboard readiness
Perfect for BI teams and analysts who want insights without the drag of modeling from scratch.
👁️ Integrated AI Observability: From Monitoring to Meaning
Finally, something that makes monitoring actually useful.
Snowflake’s new AI Observability features offer:
- Evaluate performance of your GenAI apps and agents by making use of LLM-as-a-judge technique.
- Comparing multiple evaluations side by side and assessing the quality and accuracy of responses.
- Trace each step of the process end to end
You’re not just watching logs anymore—you’re getting real-time AI-powered nudges that tell you when your pipelines or models need attention.
Think of it as the fitness tracker for your entire data stack.
Read more at – https://docs.snowflake.com/en/user-guide/snowflake-cortex/ai-observability
📚 Knowledge Extensions: Help Where You Need It
Whether you’re writing complex SQL or debugging an embedded AI_JOIN, sometimes you just need a second brain.
Now, Snowflake offers contextual help unstructured content, such as articles, market research, books, or forum posts, into Cortex AI applications, such as chatbots and agentic systems.
No more Googling in another tab. Answers, documentation, and examples come to you. Magic? Almost. But there are some steps to it…
Read more at – https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-knowledge-extensions/cke-overview
🔚 From Reactive to Proactive
With features like Snowconvert AI, semantic model auto-generation, and AI observability, Snowflake is stepping into a new role:
It’s not just where your data lives—it’s where your data stack comes alive.
BrontoWise 
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