Claude Opus 4.5 now in Amazon Bedrock

Favorite Anthropic’s newest foundation model, Claude Opus 4.5, is now available in Amazon Bedrock, a fully managed service that offers a choice of high-performing foundation models from leading AI companies. Opus 4.5 is a meaningful step forward in what AI systems can do and sets a new standard across coding,

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Shared by AWS Machine Learning November 24, 2025

Power up your ML workflows with interactive IDEs on SageMaker HyperPod

Favorite Amazon SageMaker HyperPod clusters with Amazon Elastic Kubernetes Service (EKS) orchestration now support creating and managing interactive development environments such as JupyterLab and open source Visual Studio Code, streamlining the ML development lifecycle by providing managed environments for familiar tools to data scientists. This feature introduces a new add-on called Amazon SageMaker Spaces

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Shared by AWS Machine Learning November 24, 2025

How Wipro PARI accelerates PLC code generation using Amazon Bedrock

Favorite This post is co-written with Rejin Surendran from Wipro Enterprises Limited and Bakrudeen K from ShellKode. In manufacturing environments, industrial automation engineers face a significant challenge: how to rapidly convert complex process requirements into Programmable Logic Controller (PLC) ladder text code. This traditional, manual process typically requires 3-4 days

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Shared by AWS Machine Learning November 21, 2025

Deploy geospatial agents with Foursquare Spatial H3 Hub and Amazon SageMaker AI

Favorite Organizations have used geospatial machine learning (ML) for property risk assessment, disaster response, and infrastructure planning. These systems worked well but couldn’t scale beyond specialized use cases. Each question required multiple geospatial datasets, each with its own model and often its own workflow, limiting these capabilities to a handful

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Shared by AWS Machine Learning November 21, 2025

Amazon Bedrock Guardrails expands support for code domain

Favorite Amazon Bedrock Guardrails now supports protection against undesirable content within code elements including user prompts, comments, variables, function names, and string literals. Amazon Bedrock Guardrails provides configurable safeguards for building generative AI applications at scale. These safety controls work seamlessly whether you’re using foundation models from Amazon Bedrock, or

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Shared by AWS Machine Learning November 20, 2025

How Care Access achieved 86% data processing cost reductions and 66% faster data processing with Amazon Bedrock prompt caching

Favorite This post is co-written with Michelle Tat, Christopher Penrose, Rasmus Buchmann, and Daniel Hansen from Care Access. Organizations operating in the healthcare industry face a critical challenge as they process large volumes of medical records and face a critical challenge: how to efficiently analyze thousands of medical records daily

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Shared by AWS Machine Learning November 20, 2025

How Rufus scales conversational shopping experiences to millions of Amazon customers with Amazon Bedrock

Favorite Our team at Amazon builds Rufus, an AI-powered shopping assistant which delivers intelligent, conversational experiences to delight our customers. More than 250 million customers have used Rufus this year. Monthly users are up 140% YoY and interactions are up 210% YoY. Additionally, customers that use Rufus during a shopping

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Shared by AWS Machine Learning November 20, 2025

Accelerating genomics variant interpretation with AWS HealthOmics and Amazon Bedrock AgentCore

Favorite Genomic research stands at a transformative crossroads where the exponential growth of sequencing data demands equally sophisticated analytical capabilities. According to the 1000 Genomes Project, a typical human genome differs from the reference at 4.1–5.0 million sites, with most variants being SNPs and short indels. These variants, when aggregated

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Shared by AWS Machine Learning November 20, 2025