The system is backed by large language models from OpenAI, Meta Platforms Inc., Mistral AI SAS and Anthropic, which are integrated directly into Snowflake’s SQL engine.

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI.

New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.

The serverless process creates ephemeral graph data science environments using Snowflake SQL, requiring customers to pay only for resources utilized during the algorithms’ runtime.

Applicable to a wide variety of use cases—including anomaly identification, fraud detection, supply chain route optimization, data record unification, customer service improvement, and more—any user ...

Snowflake has recently brought Snowflake SQL Copilot to the public preview. Snowflake SQL Copilot is a generative AI-powered SQL assistant that aims to revolutionize the way users interact with ...

When writing Snowflake stored procedures or custom functions in Snowflake SQL, it is lacking support for binding variables. E.g., parsing the following code fails: CREATE OR REPLACE PROCEDURE ...

Creating SQL Stored Procedures via SQL Server is easier than you might have originally thought, so let us explain what to do.