Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas

What changed

Amazon Web Services published a guide on building a no-code machine learning workflow using Amazon SageMaker Canvas connected to Snowflake data. Business analysts can visually prepare data and train fraud detection models without writing any code.

Why you should care

This development makes predictive modeling accessible to non-technical professionals who manage data in enterprise warehouses like Snowflake. Teams can build custom predictive tools, such as fraud detection systems, directly without depending on specialized data science engineering resources.

Your move

Watch. Review your current cloud data warehouse setup to determine if your team can leverage visual machine learning tools to prototype predictive models without developer assistance.

Evidence

ConfirmedAWS Machine Learning ↗

What to watch next

Watch for further verified reporting or independent evidence.

Event

release

Event date

Aug 20, 2026

Relevant to

Business analysts, Data analysts, IT leaders