
Virtual Hands-On Lab
Batch Data Extraction at Scale with Cortex AI Functions
On-Demand
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Extracting data from complex unstructured formats — text, images, video, and audio — traditionally requires specialized machine learning workflows. In this guide, you'll use Snowflake Cortex AI Functions to build a batch data extraction pipeline that processes multimodal content entirely within Snowflake.
You'll apply built-in AI functions to extract fields and transcribe media, then use Cortex AI Function Studio to create a reusable custom AI function, evaluate its accuracy, and optimize it for production use.
In this virtual hands-on lab, you will learn how to:
- Apply AI_EXTRACT, AI_COMPLETE (with public preview video support), and AI_TRANSCRIBE to unlock structure from text, images, video, and audio
- Use Cortex AI Function Studio to create, evaluate, and refine a reusable custom AI function
- Walk away with an optimized, production-ready pipeline for multimodal data extraction
Speakers

Anthony MelattiSenior AI/ML Architect, Applied Field Engineering, Snowflake

Boxin JiangStaff Software Engineer, Snowflake

Stacey HouSenior Product Manager, Snowflake
