For decades, intelligent document processing has been crucial for managing large volumes of documents that need to transition from printed to digital formats. However, challenges with accuracy and scalability have often hindered its potential. Today, advancements in AI, combined with Snowflake’s powerful and cost-efficient processing engine, are transforming this landscape, enabling seamless, high-accuracy batch processing at scale.
In this session, we will cover:
- How to use familiar SQL to do advanced processing like document entity extraction
- How business users can customize models to specific document layouts using no-code UI in Snowflake Document AI
- How customers are seeing higher accuracy at lower costs using AI in Snowflake
Featuring Snowflake Customer:
Speakers
Nick Marez
SVP, Data and Reporting
New American Funding
Haisam Sayyed
Manager, MIS Solutions
New American Funding
Julian Forero
AI Product Marketing Lead
Snowflake
Nikolai Scholz
Senior Product Manager
Snowflake