Snowflake's blowout quarter and Jensen Huang's agentic AI case just buried the SaaS is dead trade. Here is the consumption pricing playbook every software CEO needs.

In June 2026, Snowflake Inc. held its annual general meeting and urged shareholders to vote against a proposal for majority voting in director elections, while clients such as Marketplacer, Unlimitail ...

It was nearly 29 years ago that organizers of Utah’s first Olympics rolled out their logo for the 2002 Winter Games, a stylized gold, orange and purple snowflake embodying snow-capped mountains, ...

Enterprise AI agents have a new production failure mode, and it is not the model. As enterprises move from single-layer RAG to hybrid retrieval architectures, the same underlying data produces ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Snowflake spent eleven years convincing enterprises to trust it with their data, and last ...

Snowflake posted its best day ever after boosting guidance and announcing an AI compute deal with Amazon. Finance chief Brian Robins said tools such as Cortex Code are driving a "step function change" ...

Shares in the AI data cloud provider Snowflake Inc (NYSE: SNOW) are surging this morning in premarket trading after the company reported better-than-expected results for its Q1 2027. Here’s what you ...

Shares of Snowflake were rocketing toward their biggest-ever gain in early Thursday trading, after the cloud software company beat fiscal first-quarter earnings expectations by a wide margin and ...

May 27 (Reuters) - Snowflake (SNOW.N), opens new tab raised annual product revenue forecast on Wednesday, as enterprises ramped up spending on ‌AI applications and shifted more data workloads to its ...

Snowflake’s office in Bellevue’s Spring District, where it expanded its regional presence last year. (GeekWire Photo / Kurt Schlosser) Snowflake on Wednesday committed to spend $6 billion on Amazon ...

Enterprise AI is moving from pilots to production, but the bottleneck isn't the model; it's the data underneath it. Fragmented estates, duplicated copies, and brittle pipelines slow every AI ...