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Can serverless fix fintech’s scaling problem?

CIO

With serverless components, there is no need to manage infrastructure, and the inbuilt tracing, logging, monitoring and debugging make it easy to run these workloads in production and maintain service levels. Financial services unique challenges However, it is important to understand that serverless architecture is not a silver bullet.

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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning - AI

In this post, you will learn how to extract key objects from image queries using Amazon Rekognition and build a reverse image search engine using Amazon Titan Multimodal Embeddings from Amazon Bedrock in combination with Amazon OpenSearch Serverless Service. An Amazon OpenSearch Serverless collection.

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

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. You can use AWS services such as Application Load Balancer to implement this approach.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Security – The solution uses AWS services and adheres to AWS Cloud Security best practices so your data remains within your AWS account.

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Cloud-Scale Monitoring With AWS and Datadog

In this eBook, find out about the benefits and complexities of migrating workloads to AWS, and dive into services that AWS offers for containers and serverless computing. Find out the key performance metrics for each service to track in order to ensure workloads are operating efficiently.

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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock Custom Model Import enables the import and use of your customized models alongside existing FMs through a single serverless, unified API. This serverless approach eliminates the need for infrastructure management while providing enterprise-grade security and scalability. Review the model response and metrics provided.

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Responsible AI in action: How Data Reply red teaming supports generative AI safety on AWS

AWS Machine Learning - AI

At Data Reply and AWS, we are committed to helping organizations embrace the transformative opportunities generative AI presents, while fostering the safe, responsible, and trustworthy development of AI systems. Post-authentication, users access the UI Layer, a gateway to the Red Teaming Playground built on AWS Amplify and React.