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ToolsThe story, in brief

Run Positron on Amazon SageMaker AI for data science workflows

Positron IDE now runs natively on SageMaker AI—one governed workspace for data exploration, model training, and deployment.

Reporting by AWS Machine Learning Blog 1 min brief
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The KeyNews take

Why it matters

A workflow integration that reduces friction for data teams already in the AWS ecosystem. Practitioners using SageMaker Studio can now stay in Positron without context-switching, streamlining the path from data validation to production endpoints.

The key facts

9 to know

  1. Positron (Posit's IDE for data science) integrated into Amazon SageMaker AI

  2. Workflow includes: Athena table exploration → feature validation (R) → model training (XGBoost, Python) → SageMaker endpoint deployment → Quarto reporting

  3. Runs within governed SageMaker Studio Space

  4. Single-environment setup reduces tool fragmentation for data teams

  5. Combines open-source tools (XGBoost, R, Python, Quarto) with AWS managed services

  6. Positron IDE now available on Amazon SageMaker AI

  7. Integrated workflow: Athena → feature validation (R) → model training (XGBoost in Python) → SageMaker endpoint deployment → reporting (Quarto)

  8. Multi-language support (R and Python) in single environment

  9. Enables real-time endpoint deployment from IDE

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: 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…
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Run Positron on Amazon SageMaker AI for data science workflows | KeyNews.AI