Data and AI releases

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1,068 this month · 169 companies

Bring deep SageMaker AI expertise to your coding agent with the AWS AI/ML skill in the Agent Toolkit for AWS

UpdateyesterdayUnverifiedAdded Oct 14, 2026

Your coding agent can select, train, optimize and deploy models on Amazon SageMaker AI while working across the rest of your AWS environment in a single natural-language workflow. The AWS AI/ML skill is now a core skill in the Agent Toolkit for AWS , so it works alongside the toolkit's other AWS skills like EC2, Bedrock, and more.

Topics: AI agents, Pricing, Data integration, Developer tools, Coding agents

AWS's release notes

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Amazon SageMaker Unified Studio now supports two new connection capabilities: Iceberg REST Catalog connections and IAM authentication for Amazon DocumentDB

Amazon SageMaker Unified Studio now supports two new connection capabilities: (1) Iceberg REST Catalog (IRC) connections for external Apache Iceberg catalogs, and (2) IAM authentication for Amazon DocumentDB. Together, they let data teams connect to a broader set of governed data sources and use credential-less authentication across projects.

Updateunverified

Run interactive workloads on Amazon EMR on EKS with Spark Connect

Amazon EMR on EKS now supports interactive Apache Spark sessions with Spark Connect. Data engineers and data scientists can develop and debug Apache Spark applications interactively from managed notebooks in Amazon SageMaker Unified Studio and their own IDEs, such as Jupyter and Visual Studio Code, with Spark running on the Amazon EKS clusters they already...

Also shipped on Oct 13, 2026

AWS in October 2026
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What's included:

- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.