{
  "id": 8957733,
  "title": "Run Positron on Amazon SageMaker AI for data science workflows",
  "url": "https://urgent.news/2026/09/21/run-positron-on-amazon-sagemaker-ai-for-data-science-workflows",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-21T16:34:21.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/run-positron-on-amazon-sagemaker-ai-for-data-science-workflows/"
  },
  "original_language": "en",
  "account": null,
  "summary": "Positron, Posit's IDE for data science, now runs on Amazon SageMaker AI. This post shows how a data scientist explores an Amazon Athena table, validates features in R, trains an XGBoost model in Python, deploys a real-time SageMaker AI endpoint, and reports results with Quarto, all in one governed SageMaker Studio Space.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "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."
}