Remove 2019 Remove Machine Learning Remove System Architecture
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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. Let’s transition to exploring solutions and architectural strategies.

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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. He works with customers from different sectors to accelerate high-impact data, analytics, and machine learning initiatives.

ML 103
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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

The lack of flexibility in the existing customer service system prevented them from providing their customers the best user experience and from innovating further by introducing features like the ability to handle redundant queries via chat. He is focusing on system architecture, application platforms, and modernization for the cabinet.

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Who Said What? Recorder's On-device Solution for Labeling Speakers

Google Research AI blog

Posted by Quan Wang, Senior Staff Software Engineer, and Fan Zhang, Staff Software Engineer, Google In 2019 we launched Recorder , an audio recording app for Pixel phones that helps users create, manage, and edit audio recordings. Left : Recorder transcript without speaker labels. Right : Recorder transcript with speaker labels.