AtScale brings governed Snowflake metrics to Power BI and Excel — consistent answers across AI, dashboards, and spreadsheets without duplicating data ...

The company is building a platform that lets marketers use AI across the customer journey while maintaining governance, ...

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 ...

As enterprises increasingly adopt sophisticated agentic workflows, ensuring these are powered by high-reasoning, consistent intelligence reflective of strong semantic boundaries is critical. The ...

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 ...

The race toward AI is revealing a plethora of much-needed optimizations at the architectural level—and upgraded data management strategies are taking center spotlight. Experts from Snowflake and ...

Snowflake advances interoperability without compromise across every layer of modern data architecture, enabling teams and AI ...

Forbes contributors publish independent expert analyses and insights. Peter Cohan, a Boston-based senior contributor, covers stocks. Before launching artificial intelligence agents, businesses want ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...