How Snowflake helps tap the power of unstructured data
Leaders in financial services are striving to map their AI and unstructured data strategy to the above opportunities and use cases, while maintaining security, scale and cost controls. Snowflake empowers those leaders with an AI stack that is easy to deploy, efficient to scale and trusted to maintain security. That stack is called Snowflake Cortex AI.
Cortex AI encompasses “full-stack AI,” meaning it starts at the ingestion of data and runs through to the deployment of AI-driven applications. Cortex AI makes available functions to process unstructured data, create vector embeddings and run vector search, deploy foundational LLMs, build retrieval-augmented generation (RAG) architectures or chat with structured data in one unified architecture.
Cortex AI allows builders to bring state-of-the-art models from firms such as Google, Anthropic, Meta, Mistral AI and more to their data, powered by scalable GPU infrastructure, rather than sending their data out to external models. This facilitates efficient deployment of applications and allows one governance/security architecture to remain in place as data progresses from ingestion to transformation to driving gen AI applications.
This unified stack allows our customers to spend their time on driving AI ROI.
