Unstructured data is everywhere, from customer conversations and support tickets to documents, emails and other text-based information.
In this hands-on lab, Datalab explores how Matillion DPC, Maia and Snowflake Cortex can be combined to transform unstructured data into structured, actionable intelligence.
Using Matillion as the orchestration layer, participants will explore how unstructured data can be ingested, transformed, enriched and operationalised within Snowflake. The session demonstrates how Snowflake Cortex can extract structured information from raw text and how Retrieval-Augmented Generation (RAG), Cortex Search and intelligent response generation can form part of an end-to-end AI data pipeline.
The practical use case focuses on call-centre transcripts, but the techniques and architectural patterns explored during the session can be applied to documents, emails, support tickets and many other unstructured-data sources.
Attendees will leave with a practical blueprint for combining modern data engineering and generative AI to turn previously difficult-to-use information into valuable business intelligence.
Who should attend
Data engineers, developers, data architects, AI practitioners and teams working with unstructured enterprise data.
Agenda
Joining online
This session ran on Microsoft Teams. Registered attendees received a personal join link by email.
