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Real value, real time: Production AI with Amazon SageMaker and Tecton

AWS Machine Learning Blog

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. The following graphic shows how Amazon Bedrock is incorporated to support generative AI capabilities in the fraud detection system architecture.

ML 101
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Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

AWS Machine Learning Blog

For this demo, weve implemented metadata filtering to retrieve only the appropriate level of documents based on the users access level, further enhancing efficiency and security. To understand how this dynamic role-based functionality works under the hood, lets examine the following system architecture diagram.

AI 98
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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

Check out these short demo videos: Introduction to QnABot Solution Introducing Amazon Lex Try Amazon Lex or the QnABot for yourself in your own AWS account. He is focusing on system architecture, application platforms, and modernization for the cabinet.

AWS 101
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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. In this section, we briefly introduce the system architecture. The following diagram illustrates this architecture.

AWS 115