Documents are simply how business gets done. They act as the primary interface for work and the context layer for almost every business activity. Planning, alignment, deep analysis, approvals and execution all produce a massive trail of text, slides and sheets.
Yet, even as new research, market analysis, clinical notes and novel ideas move immediately into documents, traditional data stacks and processing tools struggle to make sense of them. An invoice arrives with a new vendor. Legal searches agreements for a liability clause. Equity Research compares earnings reports to identify trends. Traditional tools often struggle to digitize this document data with the high accuracy required for most enterprises to trust automating business processes.
This is exactly why we built Snowflake's native document intelligence capabilities that treat your documents like first-class data. In this blog, we explore how organizations have been able to use Snowflake Cortex AI Functions to build document intelligence workflows that scale hundreds of thousands of documents per day.
Three patterns driving business outcomes
Cortex AI Functions is designed to be the foundation for enterprise search applications that help employees and users find information faster, automating business processes by extracting data from documents and enabling deeper research and analysis across large document libraries.
