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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. AWS Prototyping developed an AWS Cloud Development Kit (AWS CDK) stack for deployment following AWS best practices.

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning - AI

By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format. This solution relies on the AWS Well-Architected principles and guidelines to enable the control, security, and auditability requirements. AI delivers a major leap forward.

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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

However, Amazon Bedrock and AWS Step Functions make it straightforward to automate this process at scale. Step Functions allows you to create an automated workflow that seamlessly connects with Amazon Bedrock and other AWS services. The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow.

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Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning - AI

Because Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. There can be different user authentication and authorization mechanisms deployed in an organization.

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Automatically scale self-hosted runners in AWS to meet demand

CircleCI

Self-hosted runners allow you to host your own scalable execution environments in your private cloud or on-premises, giving you more flexibility to customize and control your CI/CD infrastructure. Auto-scaling self-hosted runners with AWS Auto Scaling groups. Self-hosted runners — execution environments under your full control.

AWS 98
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Build scalable Low-Code backends with Booster

The Agile Monkey

However, these tools may not be suitable for more complex data or situations requiring scalability and robust business logic. In short, Booster is a Low-Code TypeScript framework that allows you to quickly and easily create a backend application in the cloud that is highly efficient, scalable, and reliable. WTF is Booster?

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Ten Pitfalls you should look out for in AWS IAM

Xebia

In our previous blog , we shortly touched upon security challenges that we can come upon when working with Terraform on AWS. In this blog we want to dig a little deeper into IAM by explaining 10 pitfalls you should look out for when you configure AWS IAM. Apply that to your AWS policies too! Implicit denies.

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