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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. This systematic approach leads to more reliable and standardized evaluations.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

AWS provides a powerful set of tools and services that simplify the process of building and deploying generative AI applications, even for those with limited experience in frontend and backend development. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

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United Airlines sets its flight plan for gen AI success

CIO

With the core architectural backbone of the airlines gen AI roadmap in place, including United Data Hub and an AI and ML platform dubbed Mars, Birnbaum has released a handful of models into production use for employees and customers alike. CIO Jason Birnbaum has ambitious plans for generative AI at United Airlines.

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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning - AI

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). The following diagram illustrates the architecture of the application.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach.

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Google’s AI innovations at Cloud Next 2025: What CIOs need to know

CIO

Explaining further how Googles strategy differs from rivals, such as AWS and Microsoft, Hinchcliffe said, where Microsoft is optimizing for AI as UX layer and AWS is anchoring on primitives, Google is carving out the middle ground a developer-ready but enterprise-scalable agentic architecture.

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