This is Part 3 of a no-code machine learning series from the AWS Machine Learning Blog, focused on visualizing fraud detection results. The tutorial walks through importing predictions produced in Amazon SageMaker Canvas into Amazon QuickSight, where readers can build interactive dashboards. It also covers using generative BI to answer questions in natural language and publishing AI-generated executive summaries for stakeholders.
Who should care
The guide targets users following the no-code ML workflow across Snowflake, Amazon SageMaker Canvas, and Amazon QuickSight, particularly those who need to communicate fraud detection insights to stakeholders without writing code.