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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process. We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices.

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Powering tomorrow with Generative AI: The AWS-Capgemini partnership advantage

Capgemini

It’s more than just another cloud service – it’s AWS’ answer to the enterprise need for flexible, scalable AI solutions. Industry-specific expertise, combined with tailored AI solutions This is where our team of more than 50,000 AWS-trained consultants comes in. Take Amazon Bedrock , for instance.

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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning - AI

The growing need for cost-effective AI models The landscape of generative AI is rapidly evolving. Although GPT-4o has gained traction in the AI community, enterprises are showing increased interest in Amazon Nova due to its lower latency and cost-effectiveness. About FloTorch FloTorch.ai

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Getting started with computer use in Amazon Bedrock Agents

AWS Machine Learning - AI

He is driven by creating cutting-edge generative AI solutions while prioritizing a customer-centric approach to his work. Raj specializes in Machine Learning with applications in Generative AI, Natural Language Processing, Intelligent Document Processing, and MLOps. In his free time, Krishna loves to go on hikes.

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SAP enhances Datasphere and SAC for AI-driven transformation

CIO

Jurgen Mueller, SAP CTO and executive board member, called the innovations, which includes an expanded partnership with data governance specialist Collibra, a “quantum leap” in the company’s ability to help customers drive intelligent business transformation through data. With today’s announcements, SAP is building on that vision.

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Deploy DeepSeek-R1 distilled models on Amazon SageMaker using a Large Model Inference container

AWS Machine Learning - AI

By integrating this model with Amazon SageMaker AI , you can benefit from the AWS scalable infrastructure while maintaining high-quality language model capabilities. In this post, we show how to use the distilled models in SageMaker AI, which offers several options to deploy the distilled versions of the R1 model.

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Welcome to the agentic era

Capgemini

We’ve moved beyond deterministic chatbots and automated processes to a realm where embedded generative AI enables faster, more personalized interactions that build loyalty and connection. Generative AI will continuously learn from feedback and algorithms, while large language models adapt.