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Mitigating risk: AWS backbone network traffic prediction using GraphStorm

In this post, we show how you can use our enterprise graph machine learning (GML) framework GraphStorm to solve prediction challenges on large-scale complex networks inspired by our practices of exploring GML to mitigate the AWS backbone network congestion risk. Source

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In this post, we show how you can use our enterprise graph machine learning (GML) framework GraphStorm to solve prediction challenges on large-scale complex networks inspired by our practices of exploring GML to mitigate the AWS backbone network congestion risk.

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Amazon

AWS CloudTrail network activity events for VPC endpoints now generally available

AWS CloudTrail now offers network activity events for VPC endpoint logging, enabling comprehensive monitoring and recording of AWS API activity through VPC endpoints to enhance security visibility, detect unauthorized access, and prevent data exfiltration without requiring custom TLS traffic inspection solutions. Source

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AWS CloudTrail now offers network activity events for VPC endpoint logging, enabling comprehensive monitoring and recording of AWS API activity through VPC endpoints to enhance security visibility, detect unauthorized access, and prevent data exfiltration without requiring custom TLS traffic inspection solutions.

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Use language embeddings for zero-shot classification and semantic search with Amazon Bedrock

In this post, we explore what language embeddings are and how they can be used to enhance your application. We show how, by using the properties of embeddings, we can implement a real-time zero-shot classifier and can add powerful features such as semantic search. Source

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In this post, we explore what language embeddings are and how they can be used to enhance your application. We show how, by using the properties of embeddings, we can implement a real-time zero-shot classifier and can add powerful features such as semantic search.

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Amazon

Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles. Source

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In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles.

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