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 ...

As organizations adopt the Snowflake AI Data Cloud to power advanced analytics, GenAI, and agentic AI workloads, building scalable, trusted, and cost-efficient data pipelines become critical. Legacy ...

Joint customers can unify product analytics and business intelligence directly within their Snowflake environments—without ...

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 ...

I believe Snowflake is disrupting the data market with its cloud platform for machine learning and data analytics, capturing market share from legacy incumbents. I think Data Analytics and Machine ...

Data for sale? Take it to the cloud. That’s the new approach with a partnership between Snowflake, The Trade Desk (TTD) and data marketplace tech vendor Narrative, which announced a new joint product ...

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 ...

Data has become technology's most precious resource. It's even been said that data is the oil of the 21st century. Yes, data plays a critical role in developing artificial intelligence (AI) models, ...

With Semantic View Autopilot, organizations including eSentire, HiBob, Simon AI, and VTS can ensure that AI agents operate on the same trusted business metrics, while cutting semantic model creation ...

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