SAN FRANCISCO--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at its annual user conference, Snowflake Summit 2024, new tools and innovations that accelerate how ...

Snowflake and Anthropic sign a multi-year strategic partnership to deliver Anthropic’s industry-leading Claude models to customers in Snowflake Cortex AI Anthropic’s latest Claude 3.5 Sonnet model ...

At Snowflake's user conference in Las Vegas Monday, Snowflake Summit 2023, the cloud database maker announced a partnership with chip giant Nvidia that combines forces for processing so-called ...

Snowflake and OpenAI signed a multi-year, $200 million partnership to embed OpenAI models directly into Snowflake products, including Snowflake Cortex AI and Snowflake Intelligence. Customers will be ...

Snowflake (NYSE:SNOW) looks to take advantage of the rising demand in artificial intelligence-powered software development as it unveiled new tools to help developers build pipelines, models and ...

Snowflake now offers MCP support. The company also debuted an AI suite for financial institutions. Both aim to make agentic AI more secure for sensitive datasets. On Thursday, data platform Snowflake ...

Our research and analysis point to a new modern data stack that is emerging where apps will be built from a coherent set of data elements that can be composed at scale. Demand for these apps will come ...

Document AI (private preview) leverages Snowflake’s first-party large language model to unlock deeper insights from documents and extract value with increased speed, accuracy, and simplicity Customers ...

Snowflake has enhanced its partnership with Microsoft to integrate OpenAI's models into its Snowflake Cortex AI platform, which operates on Microsoft Azure. This integration allows enterprises to ...

Snowflake Iceberg Tables, Cortex AI and Horizon received major updates during the annual conference. Snowflake Iceberg Tables general availability. New artificial intelligence enhancements in Cortex ...

Can SNOW's scale outweigh its premium valuation, or does INOD's faster growth and lower pricing offer better upside in the AI data race?