AWS Machine Learning Blog

Category: Compute

Event-based fraud detection with direct customer calls using Amazon Connect

Several recent surveys show that more than 80% of consumers prefer spending with a credit card over cash. Thanks to advances in AI and machine learning (ML), credit card fraud can be detected quickly, which makes credit cards one of the safest and easiest payment methods to use. The challenge with cards, however, is that […]

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Annotate DICOM images and build an ML model using the MONAI framework on Amazon SageMaker

DICOM (Digital Imaging and Communications in Medicine) is an image format that contains visualizations of X-Rays and MRIs as well as any associated metadata. DICOM is the standard for medical professionals and healthcare researchers for visualizing and interpreting X-Rays and MRIs. The purpose of this post is to solve two problems: Visualize and label DICOM […]

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Build reusable, serverless inference functions for your Amazon SageMaker models using AWS Lambda layers and containers

In AWS, you can host a trained model multiple ways, such as via Amazon SageMaker deployment, deploying to an Amazon Elastic Compute Cloud (Amazon EC2) instance (running a Flask + NGINX, for example), AWS Fargate, Amazon Elastic Kubernetes Service (Amazon EKS), or AWS Lambda. SageMaker provides convenient model hosting services for model deployment, and provides […]

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Create a serverless pipeline to translate large documents with Amazon Translate

In our previous post, we described how to translate documents using the real-time translation API from Amazon Translate and AWS Lambda. However, this method may not work for files that are too large. They may take too much time, triggering the 15-minute timeout limit of Lambda functions. One can use batch API, but this is available only in seven AWS Regions (as […]

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Automatically scale Amazon Kendra query capacity units with Amazon EventBridge and AWS Lambda

Data is proliferating inside the enterprise and employees are using more applications than ever before to get their jobs done, in fact according to Okta Inc., the number of software apps deployed by large firms across all industries world-wide has increased 68%, reaching an average of 129 apps per company. As employees continue to self-serve […]

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Segment paragraphs and detect insights with Amazon Textract and Amazon Comprehend

Many companies extract data from scanned documents containing tables and forms, such as PDFs. Some examples are audit documents, tax documents, whitepapers, or customer review documents. For customer reviews, you might be extracting text such as product reviews, movie reviews, or feedback. Further understanding of the individual and overall sentiment of the user base from […]

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Achieve 12x higher throughput and lowest latency for PyTorch Natural Language Processing applications out-of-the-box on AWS Inferentia

AWS customers like Snap, Alexa, and Autodesk have been using AWS Inferentia to achieve the highest performance and lowest cost on a wide variety of machine learning (ML) deployments. Natural language processing (NLP) models are growing in popularity for real-time and offline batched use cases. Our customers deploy these models in many applications like support […]

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Scale session-aware real-time product recommendations on Shopify with Amazon Personalize and Amazon EventBridge

This is a guest post by Jeff McKelvey, Principal Development Lead at HiConversion. The team at HiConversion has collaborated closely with James Jory, Applied AI Services Solutions Architect at AWS, and Matt Chwastek, Senior Product Manager for Amazon Personalize at AWS. In their own words, “HiConversion is the eCommerce Intelligence™ platform helping merchants personalize and […]

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Intelligent governance of document processing pipelines for regulated industries

Processing large documents like PDFs and static images is a cornerstone of today’s highly regulated industries. From healthcare information like doctor-patient visits and bills of health, to financial documents like loan applications, tax filings, research reports, and regulatory filings, these documents are integral to how these industries conduct business. The mechanisms by which these documents […]

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Build a medical sentence matching application using BERT and Amazon SageMaker

Determining the relevance of a sentence when compared to a specific document is essential for many different types of applications across various industries. In this post, we focus on a use case within the healthcare field to help determine the accuracy of information regarding patient health. Frequently, during each patient visit, a new document is […]

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