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 ...
The more connected that businesses become to their customers, the more important it is to track and analyse all the data surrounding that relationship. With that in mind, subscription management ...
Enterprises are increasingly using the Snowflake data platform as a central coordination layer for secure data access, collaboration and AI-enabled business operations, according to a new research ...
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 Iceberg Tables, Cortex AI and Horizon received major updates during the annual conference. Snowflake Iceberg Tables general availability. New artificial intelligence enhancements in Cortex ...
Data-as-a-service provider Snowflake has introduced a new open source large language model (LLM) called Snowflake Arctic. Designed to be "the most open, enterprise-grade LLM on the market," Arctic has ...
The e-commerce provider Maplebear Inc. (d/b/a Instacart) has two constituencies to satisfy. It must meet the needs of customers who order groceries online while helping retailers expand their ...
No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the Data Cloud company, today announced an expanded partnership with Microsoft, enabling new product integrations across AI, ...
Snowflake reports 48 percent year-over-year Q1 revenue growth, but company sees signs of spending pullback amid economic uncertainty. Data cloud giant Snowflake has acquired Neeva, a developer of ...
All-around, highly generalizable generative AI models were the name of the game once, and they arguably still are. But increasingly, as cloud vendors large and small join the generative AI fray, we’re ...
Over the past several months we’ve produced a number of in-depth analyses laying out our mental model for the future of data platforms. There are two core themes: 1) Data from people, places, things ...
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