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aws.amazon.com /3 weeks ago

Agent-guided workflows to accelerate model customization in Amazon SageMaker AI

Amazon SageMaker AI now offers an agentic experience that changes this. Developers describe their use case using natural language, and the AI coding agent streamlines the entire jo...

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aws.amazon.com /1 month ago

Use-case based deployments on SageMaker JumpStart

We're excited to announce the launch of Amazon SageMaker JumpStart optimized deployments. SageMaker JumpStart improved deployments address the need for rich and straightforward dep...

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aws.amazon.com /1 month ago

Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick

This post demonstrates how agentic AI assistant from Amazon Quick transform data analytics into a self-service capability by using Amazon Simple Storage Service (Amazon S3) as a st...

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aws.amazon.com /1 week ago

Automate deployment of data and AI applications with Amazon SageMaker Unified Studio CI/CD CLI

The CI/CD CLI for Amazon SageMaker Unified Studio (aws-smus-cicd-cli) is an open source command line tool that automates deployment of multi-service data and AI applications across...

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aws.amazon.com /1 month ago

Amazon SageMaker AI now supports optimized generative AI inference recommendations

Today, Amazon SageMaker AI supports optimized generative AI inference recommendations. By delivering validated, optimal deployment configurations with performance metrics, Amazon...

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aws.amazon.com /1 month ago

Accelerate agentic tool calling with serverless model customization in Amazon SageMaker AI

In this post, we walk through how we fine-tuned Qwen 2.5 7B Instruct for tool calling using RLVR. We cover dataset preparation across three distinct agent behaviors, reward functio...

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aws.amazon.com /3 weeks ago

Streamlining generative AI development with MLflow v3.10 on Amazon SageMaker AI

Today, we’re excited to announce that Amazon SageMaker AI MLflow Apps now support MLflow version 3.10, bringing enhanced capabilities for generative AI development and streamlined...

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aws.amazon.com /1 month ago

Build Strands Agents with SageMaker AI models and MLflow

In this post, we demonstrate how to build AI agents using Strands Agents SDK with models deployed on SageMaker AI endpoints. You will learn how to deploy foundation models from Sag...

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aws.amazon.com /3 weeks ago

Capacity-aware inference: Automatic instance fallback for SageMaker AI endpoints

Today, Amazon SageMaker AI introduces capacity aware instance pool for new and existing inference endpoints. You define a prioritized list of instance types, and SageMaker AI autom...

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aws.amazon.com /1 week ago

How Amazon is moving to integrate catalogs to improve data discovery with Amazon SageMaker

Enterprises face challenges when teams create data assets outside of central data catalogs. It adds overhead for discovery, and limits collaboration. Amazon’s Business Data Technol...

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aws.amazon.com /1 month ago

How Guidesly built AI-generated trip reports for outdoor guides on AWS

In this post, we walk through how Guidesly built Jack AI on AWS using AWS Lambda, AWS Step Functions, Amazon Simple Storage Service (Amazon S3), Amazon Relational Database Service...

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towardsdatascience.com /6 days ago

Introducing the Agent Toolkit for Amazon Web Services

It’s like having your own personal expert AWS solutions architect and data engineer rolled into one. The post Introducing the Agent Toolkit for Amazon Web Services appeared first o...

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aws.amazon.com /1 month ago

Get to insights faster using Notebooks in Amazon SageMaker Unified Studio

In this post, we demonstrate how Notebooks in Amazon SageMaker Unified Studio help you get to insights faster by simplifying infrastructure configuration. You'll see how to analyze...

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aws.amazon.com /2 weeks ago

Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI

In this post, we demonstrate how to build a secure, complete LLM fine-tuning workflow that integrates Unity Catalog with Amazon SageMaker AI using Amazon EMR Serverless for preproc...

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aws.amazon.com /1 month ago

Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances

Today, we are thrilled to announce the availability of G7e instances powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on Amazon SageMaker AI. You can provision nodes wi...

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aws.amazon.com /1 week ago

Build AI-powered dashboard automation agents with NLP on Amazon Bedrock AgentCore

This solution combines the power of Amazon Bedrock AgentCore, Strands Agents, and Amazon Quick transforms to deliver a secure, scalable, and intelligent system for building and ope...

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javarevisited.blogspot.com /1 month ago

I Tried 20+ AWS SageMaker Courses: Here Are My Top 5 Recommendations for 2026

Hello guys, if you want to learn about AWS SageMaker and are looking for the best online courses, then you have come to the right place.Artificial intelligence and machine learning...

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aws.amazon.com /1 month ago

End-to-end lineage with DVC and Amazon SageMaker AI MLflow apps

In this post, we show how to combine DVC (Data Version Control), Amazon SageMaker AI, and Amazon SageMaker AI MLflow Apps to build end-to-end ML model lineage. We walk through two...

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aws.amazon.com /1 month ago

AWS Generative AI Model Agility Solution: A comprehensive guide to migrating LLMs for generative AI production

In this post, we introduce a systematic framework for LLM migration or upgrade in generative AI production, encompassing essential tools, methodologies, and best practices. The fra...

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aws.amazon.com /1 month ago

Building AI-ready data: Vanguard’s Virtual Analyst journey

In this post, you'll learn how Vanguard built their Virtual Analyst solution by focusing on eight guiding principles of AI-ready data, the AWS services that powered their implement...

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aws.amazon.com /1 month ago

Navigating multi-account deployments in Amazon SageMaker Unified Studio: a governance-first approach

In this post, we explore SageMaker Unified Studio multi-account deployments in depth: what they entail, why they matter, and how to implement them effectively. We examine architect...

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aws.amazon.com /1 month ago

Best practices to run inference on Amazon SageMaker HyperPod

This post explores how Amazon SageMaker HyperPod provides a comprehensive solution for inference workloads. We walk you through the platform’s key capabilities for dynamic scaling,...

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aws.amazon.com /1 week ago

Announcing OpenAI-compatible API support for Amazon SageMaker AI endpoints

Today, Amazon SageMaker AI introduces OpenAI-compatible API support for real-time inference endpoints. If you use the OpenAI SDK, LangChain, or Strands Agents, you can now invoke m...

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snowflake.com /1 month ago

Agentic AI in Business: From Pilots to Operations

See how retail, manufacturing, and other industries turn agentic AI from pilots into operations with measurable business impact.

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