RepoSnowflake (Arctic)Snowflake (Arctic)published Oct 20, 2025seen 5d

Snowflake-Labs/sfguide-extracting-insights-from-multimodal-customer-data

Jupyter Notebook

Open original ↗

Captured source

source ↗

Snowflake-Labs/sfguide-extracting-insights-from-multimodal-customer-data

Language: Jupyter Notebook

License: Apache-2.0

Stars: 5

Forks: 12

Open issues: 0

Created: 2025-10-20T18:50:27Z

Pushed: 2025-11-05T22:56:48Z

Default branch: main

Fork: no

Archived: no

README:

Snowflake Cortex AI SQL: Extracting Insights from Multimodal Customer Service Data

Overview

In this quickstart, 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 using powerful AI capabilities like transcription, translation, sentiment analysis, classification, and intelligent summarization. By the end of this session, you will have a clear understanding of how to use Cortex AI functions to analyze customer service data at scale, all while keeping your data secure within Snowflake's environment.

Step-By-Step Guide

For prerequisites, environment setup, step-by-step guide and instructions, please refer to the QuickStart Guide.

Notability

notability 2.0/10

Routine guide, very low stars