Unstructured data now makes up the majority of the world’s data, with analysts estimating that 80-90% of all data is unstructured. Snowflake’s innovation has made it easy to analyze this data and build applications that meet different customer needs when it comes to images and videos.
This webinar will explore a few use cases that can be applied to images and videos and demonstrate how they work. Whether it is a traditional computer vision use case (image similarity, classification, etc.) or exploring recent innovations like Stable Diffusion and extracting metadata, we will show how simple it is to build a robust application on Snowflake all in a secure environment. This webinar will cover use cases for:
- Text-prompt based image search
- Computer vision: reverse image similarity search and classification
- Video processing: robust video matting
Using the following Snowflake features:
- Vector Data Type and Cortex Search
- Snowflake Notebooks on Container Runtime
- Snowpark Container Services
- Streamlit
- Model Registry
Speakers
Jason Ho
Data Cloud Architect, Snowflake
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