Unlocking ‘Dark Data’: Finding Value in Logs, Text, and Documents


What to Expect
 

Discover how a leading North American bank is using Snowflake Cortex AI to fully automate credit-file processing. This webinar + demo session will show how AI extracts and validates data from multi-page documents, turning complex text and images into structured, ready-to-use insights. You’ll also see how the platform delivers validated data for analytics, risk scoring, and reporting. 

What You Will Explore and Learn  

  • Document Intelligence
    How Snowflake Document AI extracts text and images from multi-page credit files.
  • LLM-Powered Structuring
    How Cortex LLMs convert unstructured documents into clean, schema-guided JSON outputs.
  • Validation with Multimodal AI
    How text and image models work together to verify key financial fields for accuracy and consistency.
  • Handling Complex Documents
    How to process long PDFs, extract tables, and manage multi-entry sections within complex document formats.
  • Reliable Pipeline Design
    How to implement retry logic, error handling, and progress tracking for resilient document-processing pipelines in Snowflake.

Who Should Attend  

This 30-minute session is designed for teams working with large volumes of documents or unstructured data. It’s ideal for data engineers, Snowflake architects, banking and credit operations teams, AI/ML engineers, and analysts looking to automate document extraction, improve accuracy, and modernize end-to-end data processing with AI.  

We look forward to seeing you there!  

Speaker

Cyril Kumar Selvaraj
Architect, Systech 

 

Watch On Demand