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Announcing the AWS Well-Architected Responsible AI Lens 

Favorite As AI applications grow more complex, many builders struggle to appropriately and responsibly balance AI benefits and risks. Few resources exist that help non-experts articulate and resolve the key design decisions they must make. However, it doesn’t have to be this way. Today, we’re announcing the AWS Well-Architected Responsible

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Shared by AWS Machine Learning November 19, 2025

HyperPod enhances ML infrastructure with security and storage

Favorite Amazon SageMaker HyperPod is a purpose-built infrastructure for optimizing foundation model training and inference at scale. SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training foundation models (FMs). As AI moves towards deployment adopting to a multitude of domains and

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Shared by AWS Machine Learning November 18, 2025

A new era of intelligence with Gemini 3

Favorite Today we’re releasing Gemini 3 – our most intelligent model that helps you bring any idea to life. View Original Source (blog.google/technology/ai/) Here.

Accelerate enterprise solutions with agentic AI-powered consulting: Introducing AWS Professional Service Agents

Favorite AWS Professional Services set out to help organizations accelerate their cloud adoption with expert guidance and proven methodologies. Today, we’re at a pivotal moment in consulting. Just as cloud computing transformed how enterprises build technology, agentic AI is transforming how consulting services deliver value. We believe in a future

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Shared by AWS Machine Learning November 17, 2025