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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

It uses Amazon Bedrock , AWS Health , AWS Step Functions , and other AWS services. Some examples of AWS-sourced operational events include: AWS Health events — Notifications related to AWS service availability, operational issues, or scheduled maintenance that might affect your AWS resources.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

The solution presented in this post takes approximately 15–30 minutes to deploy and consists of the following key components: Amazon OpenSearch Service Serverless maintains three indexes : the inventory index, the compatible parts index, and the owner manuals index. Python 3.9 or later Node.js

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Cloud Security — Maturing Past the Awkward Teenage Years

Palo Alto Networks

{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider The genesis of cloud computing can be traced back to the 1960s concept of utility computing, but it came into its own with the launch of Amazon Web Services (AWS) in 2006. As a result, another crucial misconception revolves around the shared responsibility model.

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AWS Lambda Benchmarking

Xebia

In this blog post, we examine the relative costs of different language runtimes on AWS Lambda. Many languages can be used with AWS Lambda today, so we focus on four interesting ones. Rust just came to AWS Lambda in November 2023 , so probably a lot of folks are wondering whether to try it out.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

By following these guidelines, data teams can implement high fidelity ground truth generation for question-answering use case evaluation with FMEval. By segment, North America revenue increased 12% Y oY from $316B to $353B, International revenue grew 11% Y oY from$118B to $131B, and AWS revenue increased 13% Y oY from $80B to $91B.

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How 20 Minutes empowers journalists and boosts audience engagement with generative AI on Amazon Bedrock

AWS Machine Learning - AI

Storm serves as the front end for Nova, our serverless content management system (CMS). Organizations such as the Interactive Advertising Bureau (IAB) and the Global Alliance for Responsible Media (GARM) have developed comprehensive guidelines and frameworks for classifying the brand safety of content.