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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. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. Using SageMaker, you can build, train and deploy ML models.

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 103
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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. This process involves the utilization of both ML and non-ML algorithms. In this section, we briefly introduce the system architecture.

AWS 117