# Amazon — Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with Amazon Quick Sight

- Company: Amazon (amazon.com)
- Announced: 2026-08-20T21:23:23+00:00
- Category: product-launch
- Subject: Bedrock / Nova
- Models affected: XGBoost
- Source: https://aws.amazon.com/blogs/machine-learning/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon-quick-part-3-visualizing-insights-with-amazon-quick-sight/
- Record: https://forck.live/items/4291-build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon

Amazon announces the integration of Amazon SageMaker Canvas predictions with Amazon Quick Sight (now part of Amazon Quick) to build interactive dashboards for fraud detection, including generative BI capabilities for natural language queries.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon-quick-part-3-visualizing-insights-with-amazon-quick-sight/:

> In Part 3, the workflow comes full circle by integrating SageMaker Canvas predictions with Amazon Quick Sight, now part of Amazon Quick, to create interactive dashboards that combine operational data with ML predictions for fraud detection business intelligence (BI).

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