How to use Snowflake Cortex Functions with Sigma

Snowflake has announced the integration of large language models (LLMs) such as Mistral, Llamas 2, and Snowflake Arctic with its AI Data Cloud, accessible through Sigma's user interface, which serves as a front end for cloud data platforms like Snowflake. This collaboration allows business users to employ LLM functions like sentiment analysis, data summarization, and translation without needing SQL or Python expertise. Sigma enhances accessibility by integrating these functions into its platform, enabling users to leverage LLMs for various tasks, including sentiment enrichment of sales calls and predictive account scoring. The integration ensures data security by keeping information within Snowflake's environment, avoiding third-party AI services. Furthermore, Sigma provides transparency into the costs associated with using Snowflake Cortex functions, aiding in budget management across departments. The partnership between Sigma and Snowflake aims to democratize access to LLM technology, allowing businesses to unlock more value from their data.