AI-powered BI with Snowflake and Amazon Quick | Amazon Web Services

One dashboard shows 42,000 active movie view counts while another shows 38,500. Your chat agent references a third number entirely. Data teams spend hours reconciling numbers instead of answering strategic questions, and trust in analytics erodes.

This is a pattern that we see across many organizations. Teams spend more effort reconciling numbers than actually using them, quietly slowing down decision-making and chipping away at confidence in the data.

The root cause is usually a last-mile gap: business logic lives inside each individual application rather than at the data layer where every application can share it.

Amazon Quick Sight datasets on top of Snowflake semantic views close that gap. A semantic viewis a Snowflake schema object that attaches business definitions (table, relationships, metrics, and dimensions) directly to your data. Any downstream application that queries the semantic view inherits the same definitions, so both AI and BI systems interpret information...

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