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Build a medical imaging AI inference pipeline with MONAI Deploy on AWS

AWS Machine Learning

AWS, NVIDIA, and other partners build applications and solutions to make healthcare more accessible, affordable, and efficient by accelerating cloud connectivity of enterprise imaging. AHI provides API access to ImageSet metadata and ImageFrames. AWS and NVIDIA have come together to make this vision a reality.

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Analyze and tag assets stored in Veeva Vault PromoMats using Amazon AppFlow and Amazon AI Services

AWS Machine Learning

In a previous post , we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault Platform’s APIs. The source or destination could be a SaaS application or an AWS service such as Amazon S3, Amazon Redshift , or Lookout for Metrics.

APIs 72
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Simplify iterative machine learning model development by adding features to existing feature groups in Amazon SageMaker Feature Store

AWS Machine Learning

In this post, we demonstrate how to add features to a feature group using the newly released UpdateFeatureGroup API. To update the feature group to add a new feature, we use the new Amazon SageMaker UpdateFeatureGroup API. For this walkthrough, you should have the following prerequisites: An AWS account. Overview of solution.

APIs 83
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Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

SaaS 127
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.

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Best Software for Speech Analytics

JustCall

The platform assures that the Health Insurance Portability and Accountability Act (HIPAA), National Institute of Standards and Technology (NIST), and other state legislation are followed. Tethr provides an application programming interface (API) that allows businesses to integrate the platform with a variety of third-party solutions.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning

medium instance to demonstrate deploying LLMs via SageMaker JumpStart, which can be accessed through a SageMaker-generated API endpoint. Before you get started with the solution, create an AWS account. This identity is called the AWS account root user. We use an ml.t3.medium