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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. later acquired by Philips Healthcare to form its Enterprise Imaging.

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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.

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Best Software for Speech Analytics

JustCall

Tethr is artificial intelligence (AI)-enabled speech analytics technology that enables call centers and other business teams to track, analyze, and gather insights into customer conversations on a unified platform to reveal actionable insights. Some Best Speech Analytics Software. CallMiner Eureka.

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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.

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

AWS Machine Learning

As your organization advances its use of emerging technologies such as generative AI and LLMs, overall organizational resiliency should be considered as a cornerstone of a layered defensive strategy to protect assets and lines of business from unintended consequences.

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Detect audio events with Amazon Rekognition

AWS Machine Learning

In a healthcare environment, you can use audio event detection to passively listen for sounds from a patient that indicate an acute health problem. You can then use your custom model via the Rekognition Custom Labels API and integrate it into your applications. Assembling training data and training a Rekognition Custom Labels model.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

Innovation Talks – Learn about the latest cloud technology from AWS technology leaders and discover how these advancements can help you push your business forward. Additionally, SaaS providers need scalable and cost-effective ways to serve hundreds of models to their customers. Reserve your seat now!