{
  "id": 2227807,
  "title": "Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment",
  "url": "https://urgent.news/2026/08/20/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-20T21:23:38.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon-quick-part-1-setting-up-your-snowflake-environment/"
  },
  "original_language": "en",
  "account": null,
  "summary": "Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your AWS account and Snowflake environment for a no-code ML workflow with Amazon SageMaker Canvas, laying the foundation for building a fraud detection model without writing code.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "AWS Machine Learning",
        "title": "Build intelligent security for healthcare APIs with Amazon Bedrock",
        "url": "https://urgent.news/2026/08/20/build-intelligent-security-for-healthcare-apis-with-amazon-bedrock",
        "published": "2026-08-20T15:20:03.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}