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

This article demonstrates how to visualize fraud detection predictions from Amazon SageMaker Canvas using Amazon QuickSight dashboards with generative BI capabilities for natural language insights.

• Import Canvas predictions into QuickSight as datasets and create interactive visualizations
• Build fraud detection dashboards showing patterns across transaction categories, merchant behavior, and temporal trends
• Use generative BI to create custom visuals and answer questions through natural language queries
• Publish dashboards with executive summaries, automated reports, and threshold-based alerts
• Enable stakeholders to access AI-powered insights without specialized technical expertise

This completes a three-part no-code ML workflow that transforms Snowflake data into actionable business intelligence through visual AWS tools, removing barriers between data science and business decision-making.