Snowflake (SNOW) generated FY2026 revenue of $4.68B, up 29% year-over-year, with remaining performance obligations at $9.77B, up 42% year-over-year, while deploying 430+ new AI capabilities and ...

Instagram's Active Status feature tells others when you're using the app You can toggle your Active Status depending on your privacy needs Instagram won't show you other users' Active Status if yours ...

With so much data stored on ephemeral mediums like hard drives and magnetic tape, what will remain of our civilization in the millennia to come? Thanks to an innovation from Microsoft researchers, the ...

United Rentals has rolled out a new AI agent built on Snowflame intelligence to operational teams working throughout more than 1,600 branches. The Business Intelligence Agent allows branch managers, ...

Leading enterprises including BlueCloud and Sigma Computing will rely on Snowflake Postgres to reduce data silos and complex data pipelines for AI and analytics use cases Snowflake Horizon Catalog ...

Now with Snowflake Postgres, teams can power critical apps and AI agents, analyze business performance and trends using the most up-to-date data from their operations, and build AI-driven features ...

Abstract: With Industry 4.0 advancing, manufacturing requires real-time data acquisition, device connectivity, and cloud-based analytics. However, the diversity of equipment and legacy systems within ...

Shares of Snowflake traded slightly lower over the past month. The dip underscores investor caution on tech valuations amid mixed enterprise spending signals. Against that backdrop, we ran Snowflake ...

Cognite collaborates with Snowflake to deliver industrial AI across the enterprise, enabling energy organizations to accelerate modernization, improve resiliency and harness AI-driven insights at ...

Snowflake, a cloud-based data platform company, is partnering with TVS Next, an enterprise digital and AI services firm, to support data-driven transformation in the manufacturing sector. As part of ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...