Extracting Insights From a Healthcare Data Lake with Snowflake

Over 1.2 billion clinical documents are produced in the U.S. every year, but 80% of medical data remains unstructured and unused after it is created—revealed in articles published by Stanford Medicine and the NIH. Important clinical data stored in text formats are challenging to utilize effectively and therefore is currently often ignored, unsaved, or abandoned.

Join us for a live webinar and Q&A to learn how Snowflake can extract value from previously unusable unstructured data. Hear from Snowflake Architects as they:

• Break down how Snowflake platform components, including Snowpark, can simplify healthcare data intelligence
• Share how to get insights from data lakes and HL7 messages using Snowpark
• Showcase a Snowpark Demo