Using Snowflake Document AI To Unlock Value From Unstructured Data

Processing documents is a somewhat ubiquitous chore across all industries and organizations. But processing them has traditionally been a manual process that’s slow, cumbersome, and prone to human error. This has prevented organizations from deriving maximum value from their unstructured document data. In this video, Nikolai Scholz, Senior Product Manager at Snowflake, will explain how we built Snowflake Document AI (now in General Availability) with a world's best-in-class model, why it's such a game changer for our customers, and how to get started with it. This exciting new feature extracts relevant information from documents, like invoices or contracts, via a proprietary, built-in, multi-modal large language model (LLM) that we call Snowflake Arctic-TILT (Text Image Layout Transformer), which boasts state-of-the-art performance with exceptionally low GPU usage. Here is a link to a Quickstart Guide to help you get started. No AI expertise required: https://quickstarts.snowflake.com/guide/automating_document_processing_workflows_with_document_ai/#0 Subscribe for more! http://www.snowflake.com/YTsubscribe/ Explore sample code, download tools, and connect with peers: https://developers.snowflake.com/