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Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

AWS Machine Learning - AI

However, existing solutions can often fall into two categories: rule-based systems that demand substantial time and effort for setup and upkeep, or rigid systems that lack the flexibility required for human-like interactions with customers. Solution overview The following diagram illustrates our solution architecture.

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

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. This post guides you through implementing a queue management system that automatically monitors available job slots and submits new jobs as slots become available.

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Enhancing Resiliency: Implementing the Circuit Breaker Pattern for Strong Serverless Architecture on AWS

Dzone - DevOps

Serverless architecture is a way of building and running applications without the need to manage infrastructure. AWS offers various serverless services, with AWS Lambda being one of the most prominent. Importance of Resiliency in Serverless Architecture As heavenly as serverless sounds, it isn't immune to failures.

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How a Serverless Architecture Can Help You Secure Cloud-Native Applications

Tenable

The good news is that deploying these applications on a serverless architecture can make it easier to protect them. Cloud-native architecture has opened up new avenues for developers, bringing individual components out of monolithic server configurations and making them readily available as consumable services. Here’s why.

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Intelligent healthcare forms analysis with Amazon Bedrock

AWS Machine Learning - AI

Solution overview To provide a high-level understanding of how the solution works before diving deeper into the specific elements and the services used, we discuss the architectural steps required to build our solution on AWS. Figure 1: Architecture – Standard Form – Data Extraction & Storage.

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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. The user-friendly system also employs encryption for security. The following diagram illustrates the solution architecture. It captures the message ID returned by Amazon SQS.

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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning - AI

With Amazon Bedrock, teams can input high-level architectural descriptions and use generative AI to generate a baseline configuration of Terraform scripts. AWS Landing Zone architecture in the context of cloud migration AWS Landing Zone can help you set up a secure, multi-account AWS environment based on AWS best practices.

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