Snowflake (NYSE:SNOW) shares have surged by nearly 50% this year, although the stock fell on Thursday after the Q3 results were announced. Investors seem to be worried as product revenue growth slowed ...

CLEVELAND — When fluffy snowflakes float to the ground during winter weather, they carry with them a story that starts high in the sky. The birth of snowflakes begins inside a narrow slice of air ...

Forbes contributors publish independent expert analyses and insights. Peter Cohan, a Boston-based senior contributor, covers stocks. Snowflake's stock fell 10% after Q3 earnings, not due to a miss, ...

Dec 3 (Reuters) - Snowflake (SNOW.N), opens new tab forecast fourth-quarter product revenue above analysts' estimates but falls short of lofty investor expectations for stronger growth, sending its ...

Snowflake (SNOW) accelerated product revenue growth to 32% year over year in Q2 from the prior quarter. AI influenced nearly half of new Snowflake customer wins and 25% of deployed use cases already ...

Snowflake developed the innovative Data Cloud, which helps businesses aggregate their valuable data across different cloud platforms. The company also offers an expanding portfolio of services to help ...

The enhancements in Horizon Catalog would allow enterprises to build context for AI-driven applications and autonomous agents from data stored outside Snowflake. Snowflake has signed a definitive ...

The new solution extension combines SAP's enterprise software expertise with Snowflake's AI and analytics capabilities. The integration enables zero-copy data sharing, allowing businesses to connect ...

New advancements to Snowflake Horizon Catalog offer thousands of customers and partners, including Merkle and RelationalAI, the universal AI catalog that provides context and governance for AI across ...

Snowflake, the AI Data Cloud company, is launching innovations that make it easier for organizations to ingest, access, and govern their data across the entire data lifecycle, redefining the ...

Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document ...