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Rad AI reduces real-time inference latency by 50% using Amazon SageMaker

AWS Machine Learning Blog

Challenges in deploying advanced ML models in healthcare Rad AI, being an AI-first company, integrates machine learning (ML) models across various functions—from product development to customer success, from novel research to internal applications. Rad AI’s ML organization tackles this challenge on two fronts.

ML 113
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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

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Rather than maintaining constantly running endpoints, the system creates them on demand when document processing begins and automatically stops them upon completion. This endpoint based architecture provides decoupling between the other processing, allowing independent scaling, versioning, and maintenance of each component.

AWS 96
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Accelerate threat modeling with generative AI

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How generative AI can help Generative AI has revolutionized threat modeling by automating traditionally complex analytical tasks that required human judgment, reasoning, and expertise. Drawing from extensive security databases like MITRE ATT&CK and OWASP , these models can quickly identify potential vulnerabilities across complex systems.

AI 94
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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning Blog

ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing ML models and require a robust MLOps platform to work in.

ML 131
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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning Blog

The following system architecture represents the logic flow when a user uploads an image, asks a question, and receives a text response grounded by the text dataset stored in OpenSearch. This may be useful for later chat assistant analytics. Step 3 – The Lambda function stores the query image in Amazon S3 with a specified ID.

AWS 127
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Announcing the First Speakers for the Virtual Agentic AI Summit in July

ODSC - Open Data Science

His career bridges machine learning research and startup innovation, with previous roles including leading the ML monitoring team at Robust Intelligence, conducting self-driving AI research at Uber ATG, and developing recommendation systems at Quora. Agentic AI — where autonomous systems act, react, and adapt — breaks that mold.

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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

AWS Machine Learning Blog

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

ML 101