Nikolai Scholz

Unstructured data (text, images, audio and documents) is the most valuable and least activated layer of the enterprise data stack. This session covers unstructured data preparation and search at enterprise scale, including: The end-to-end data enablement pipeline: How OpenFlow, AI enrichment and Cortex Search compose into a production workflow that takes raw unstructured data to searchable, agent-ready assets in minutes. Snowflake Search Stack: Four modalities covering interactive RAG, batch matching, exhaustive analytical queries over unstructured corpora and federated retrieval from a single agent, all built on Snowflake and scaling to billion-sized indexes.

Leverage Document AI and Snowflake Cortex AI to transform unstructured data into actionable insights. Our solution automates vital information extraction from diverse PDF formats, reducing manual effort. Custom-trained models ensure efficient data extraction, while robust pre-processing validates documents. Enhanced metadata management tracks configurations and accuracy. A Streamlit interface enables real-time monitoring and exception handling, optimizing data ingestion workflows for manufacturing.

In this session, discover how organizations are extracting actionable insights from text, documents, images and audio — all in Snowflake Cortex AI. This session reveals practical techniques for building integrated multimodal analytics pipelines using Cortex AI SQL functions and Document AI. Learn how to orchestrate complex, multi-step data analysis across previously siloed data types — simply, with SQL.