Agentic AI for healthcare data analysis with Amazon SageMaker Data Agent

Favorite Performing research and clinical analytics on vast amounts of clinical data can be difficult. Healthcare data scientists and epidemiologists possess deep domain expertise in patient care, disease patterns, and clinical outcomes, yet they often spend weeks navigating complex data infrastructures, writing boilerplate code, and wrestling with technical barriers before

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Shared by AWS Machine Learning February 4, 2026

AI agents in enterprises: Best practices with Amazon Bedrock AgentCore

Favorite Building production-ready AI agents requires careful planning and execution across the entire development lifecycle. The difference between a prototype that impresses in a demo and an agent that delivers value in production is achieved through disciplined engineering practices, robust architecture, and continuous improvement. This post explores nine essential best

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Shared by AWS Machine Learning February 4, 2026

Use Amazon Quick Suite custom action connectors to upload text files to Google Drive using OpenAPI specification

Favorite Many organizations need to manage file uploads across different cloud storage systems while maintaining security and compliance. Although Google Drive provides APIs for integration, organizations often don’t have the technical experts to interact with these APIs directly. Organizations need an intuitive way to handle file uploads using natural language,

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Shared by AWS Machine Learning February 4, 2026

How Clarus Care uses Amazon Bedrock to deliver conversational contact center interactions

Favorite This post was cowritten by Rishi Srivastava and Scott Reynolds from Clarus Care. Many healthcare practices today struggle with managing high volumes of patient calls efficiently. From appointment scheduling and prescription refills to billing inquiries and urgent medical concerns, practices face the challenge of providing timely responses while maintaining

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Shared by AWS Machine Learning February 3, 2026

Advancing AI benchmarking with Game Arena

Favorite We’re expanding Game Arena with Poker and Werewolf, while Gemini 3 Pro and Flash top our chess leaderboard. View Original Source (blog.google/technology/ai/) Here.

Scale AI in South Africa using Amazon Bedrock global cross-Region inference with Anthropic Claude 4.5 models

Favorite Building AI applications with Amazon Bedrock presents throughput challenges impacting the scalability of your applications. Global cross-Region inference in the af-south-1 AWS Region changes that. You can now invoke models from the Cape Town Region while Amazon Bedrock automatically routes requests to Regions with available capacity. Your applications get consistent response

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Shared by AWS Machine Learning January 31, 2026

Simplify ModelOps with Amazon SageMaker AI Projects using Amazon S3-based templates

Favorite Managing ModelOps workflows can be complex and time-consuming. If you’ve struggled with setting up project templates for your data science team, you know that the previous approach using AWS Service Catalog required configuring portfolios, products, and managing complex permissions—adding significant administrative overhead before your team could start building machine

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Shared by AWS Machine Learning January 31, 2026