Extracting Insights from Multimodal Customer Service Data with Cortex AI Functions
In this hands-on lab, you’ll learn how to build a comprehensive customer service analytics system that processes audio, text, and document data using Snowflake Cortex AI functions. This application demonstrates how to extract insights from multimodal data sources including call recordings, chat logs, support tickets, and PDF documents. You’ll walk away with a great understanding of how to leverage native Snowflake capabilities to extract value from all data types!
What You’ll Build – A production-ready customer service analytics system that:
- Transcribes and analyzes customer service calls
- Translates conversations to English automatically
- Detects sentiment and categorizes issues
- Generates call summaries using LLMs
- Parses PDF documents for information extraction
- Validates chat logs against support tickets
- Identifies misalignments in customer data
Extracting Insights from Multimodal Customer Service Data with Cortex AI Functions
In this hands-on lab, you’ll learn how to build a comprehensive customer service analytics system that processes audio, text, and document data using Snowflake Cortex AI functions. This application demonstrates how to extract insights from multimodal data sources including call recordings, chat logs, support tickets, and PDF documents. You’ll walk away with a great understanding of how to leverage native Snowflake capabilities to extract value from all data types!
What You’ll Build – A production-ready customer service analytics system that:
- Transcribes and analyzes customer service calls
- Translates conversations to English automatically
- Detects sentiment and categorizes issues
- Generates call summaries using LLMs
- Parses PDF documents for information extraction
- Validates chat logs against support tickets
- Identifies misalignments in customer data
SAVE YOUR SPOT!
Speakers
-
Ranya Bellouki
Solutions Engineer
Snowflake -
Tomer Steinberg
Principal Solution Engineer
Snowflake
Date: January 8, 2026
Time: 02:00 – 5:00 PM CET