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Build Strands Agents with SageMaker AI models and MLflow

Favorite Enterprises building AI agents often require more than what managed foundation model (FM) services can provide. They need precise control over performance tuning, cost optimization at scale, compliance and data residency, model selection, and networking configurations that integrate with existing security architectures. Amazon SageMaker AI endpoints align with these

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Shared by AWS Machine Learning April 27, 2026

Build and deploy an automatic sync solution for Amazon Bedrock Knowledge Bases

Favorite With Amazon Bedrock Knowledge Bases, you can give foundation models (FMs) and agents contextual information from your organization’s private data sources to deliver more relevant, accurate, and customized responses. As the data grows, maintaining real-time synchronization between Amazon Simple Storage Service (Amazon S3) and your knowledge bases becomes critical

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Shared by AWS Machine Learning April 27, 2026

Automate repetitive tasks with Amazon Quick Flows

Favorite Consider a typical Monday morning: you’re manually copying data from several different systems to create a weekly report, then formatting it for different stakeholders. This single task can consume several hours that could be spent on more strategic work. Multiply this across your team, and these repetitive tasks add

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Shared by AWS Machine Learning April 27, 2026

Building Workforce AI Agents with Visier and Amazon Quick

Favorite Employees across every function are expected to make faster, better-informed decisions, but the information that they need rarely lives in one place. Workforce intelligence (who is in your organization, how they are performing, and where the gaps are) is one of the most valuable signals an enterprise has, and

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Shared by AWS Machine Learning April 24, 2026

Applying multimodal biological foundation models across therapeutics and patient care

Favorite Healthcare and life sciences decision making increasingly relies on multimodal data to diagnose diseases, prescribe medicine and predict treatment outcomes, develop and optimize innovative therapies accurately. Traditional approaches analyze fragmented data, such as ‘omics for drug discovery, medical images for diagnostics, clinical trial reports for validation, and electronic health

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Shared by AWS Machine Learning April 23, 2026

Hello From The New Executive Director

Favorite When I was saying goodbye to my last team, one of the final things I said to them was “Leading this organization has been the honor of my career.”  I should have added “so far.” I am grateful for the trust the board has placed in me, and I’m

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Shared by voicesofopensource April 23, 2026