With an increase in the volume of unstructured data (images, PDFs, video) in the enterprise, the AI industry has shifted its approach to model accuracy by focusing less on model parameters to instead focus on all aspects of the data as part of a data-centric approach to AI. At the same time, because of the large storage footprint of unstructured data, moving data around for processing is costly and inefficient, so bringing processing to the data becomes a more secure and efficient path.
Watch this session with industry experts Muzz Imam, PM lead for Snowpark Container Services, and Kai Yang, VP of Product at Landing AI to learn more about:
- The process to deploy container images for unstructured data processing in Snowflake using Snowpark
- How Landing AI is leading the way in the vision revolution with Large Vision Models (LVMs) and how you can deploy enterprise-grade ready LVMs for your unique business use cases today
- How Landing AI is bringing models to the data using Snowflake’s Snowpark Container Services
Speakers
Kai Yang
VP of Product
Landing AI
Muzz Imam
Senior Product Manager
Snowflake
Julian Forero
Product Marketing Lead
Snowflake