AWS Machine Learning

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2 This blog post is co-written with Chaoyang He and Salman […]

How Thomson Reuters built an AI platform using Amazon SageMaker to accelerate delivery of ML projects This post is co-written by Ramdev Wudali and […]

Leveraging artificial intelligence and machine learning at Parsons with AWS DeepRacer This post is co-written with Jennifer Bergstrom, Sr. […]

Redacting PII data at The Very Group with Amazon Comprehend This is guest post by Andy Whittle, Principal Platform Engineer – Application & R […]

Multilingual customer support translation made easy on Salesforce Service Cloud using Amazon Translate This post was co-authored with Mark Lott, […]

Enriching real-time news streams with the Refinitiv Data Library, AWS services, and Amazon SageMaker This post is co-authored by Marios Skevofylakas, […]

Best practices for load testing Amazon SageMaker real-time inference endpoints Amazon SageMaker is a fully managed machine learning (ML) service. […]

Model hosting patterns in Amazon SageMaker, Part 1: Common design patterns for building ML applications on Amazon SageMaker Machine learning (ML) […]

Get smarter search results with the Amazon Kendra Intelligent Ranking and OpenSearch plugin If you’ve had the opportunity to build a search a […]

This post is co-written by Hesham Fahim from Thomson Reuters.
Thomson Reuters (TR) is one of the world’s most trusted information organizations for businesses and professionals. It provides companies with the i […]

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. This was the first and only […]

This three-part series demonstrates how to use graph neural networks (GNNs) and Amazon Neptune to generate movie recommendations using the IMDb and Box Office Mojo Movies/TV/OTT licensable data package, which […]

Amazon Lex is an AWS service for building conversational interfaces into any application using voice and text, enabling businesses to add sophisticated, natural language chatbots across different channels. Amazon […]

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. The millions of mortgage applications […]

The last decade of the Industry 4.0 revolution has shown the value and importance of machine learning (ML) across verticals and environments, with more impact on manufacturing than possibly any other application. […]

Last year, we announced the general availability of RStudio on Amazon SageMaker, the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. You can quickly launch t […]

Customer service interactions often contain personally identifiable information (PII) such as names, phone numbers, and dates of birth. As organizations incorporate machine learning (ML) and analytics into their […]

Launched at AWS re:Invent 2021, Amazon SageMaker Ground Truth Plus helps you create high-quality training datasets by removing the undifferentiated heavy lifting associated with building data labeling applications […]

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and […]

Today, companies are establishing feature stores to provide a central repository to scale ML development across business units and data science teams. As feature data grows in size and complexity, data scientists […]