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TechCrunch+ roundup: Pricing strategy, technical due diligence, pitch deck appendix fever

TechCrunch

Usage habits are only one signal of a customer’s willingness to pay, so Martinez shares multiple strategies and target metrics for building scalable models. How your company can adopt a usage-based business model like AWS. Formerly a general manager at AWS, Amberflo.io Thanks very much for reading, Walter Thompson.

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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.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

Refer to Supported Regions and models for batch inference for current supporting AWS Regions and models. To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. It stores information such as job ID, status, creation time, and other metadata.

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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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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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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For example, consider a text summarization AI assistant intended for academic research and literature review. For instance, consider a customer service AI assistant that handles three types of tasks: technical support, billing support, and pre-sale support. Such queries could be effectively handled by a simple, lower-cost model.

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Due diligence is ever more critical as the battle for cloud sovereignty intensifies

CIO

After Google’s cooperation with T-Systems and the “ Delos ” offer from Microsoft, SAP, and Arvato, AWS now follows suit. Instead, AWS mentions what the pledge will generally cover: control over the location of your data, verifiable control over data access, the ability to encrypt everything everywhere, and the resilience of their cloud.