AWS Machine Learning Blog

Run ML inference on AWS Snowball Edge with Amazon SageMaker Edge Manager and AWS IoT Greengrass

You can use AWS Snowball Edge devices in locations like cruise ships, oil rigs, and factory floors with limited to no network connectivity for a wide range of machine learning (ML) applications such as surveillance, facial recognition, and industrial inspection. However, given the remote and disconnected nature of these devices, deploying and managing ML models […]

Run your TensorFlow job on Amazon SageMaker with a PyCharm IDE

As more machine learning (ML) workloads go into production, many organizations must bring ML workloads to market quickly and increase productivity in the ML model development lifecycle. However, the ML model development lifecycle is significantly different from an application development lifecycle. This is due in part to the amount of experimentation required before finalizing a […]

How Cortica used Amazon HealthLake to get deeper insights to improve patient care

This is a guest post by Ernesto DiMarino, who is Head of Enterprise Applications and Data at Cortica. Cortica is on a mission to revolutionize healthcare for children with autism and other neurodevelopmental differences. Cortica was founded to fix the fragmented journey families typically navigate while seeking diagnoses and therapies for their children. To bring […]

Attendee matchmaking at virtual events with Amazon Personalize

Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by for real-time personalized recommendations—no ML expertise required. Amazon Personalize makes it easy for developers to build applications capable of delivering a wide array of personalization experiences, including specific product recommendations, personalized product re-ranking, and customized direct marketing. Besides […]

Accurately predicting future sales at Clearly using Amazon Forecast

This post was cowritten by Ziv Pollak, Machine Learning Team Lead, and Alex Thoreux, Web Analyst at Clearly. A pioneer in online shopping, Clearly launched their first site in 2000. Since then, they’ve grown to become one of the biggest online eyewear retailers in the world, providing customers across Canada, the US, Australia and New […]

Announcing model improvements and lower annotation limits for Amazon Comprehend custom entity recognition

Update August 3, 2022: Minimum requirements for training entity recognizers have been further reduced. You can now build a custom entity recognition model with as few as three documents and 25 annotations per entity type. Additional details available in the Amazon Comprehend Guidelines and quotas webpage and in the blog post announcing the limit reduction. […]

Make your audio and video files searchable using Amazon Transcribe and Amazon Kendra

Updated May 2023 (v0.3.0): With this release MediaSearch indexer now supports indexing YouTube media and the MediaSearch Finder is enhanced to support playing YouTube videos inline. The demand for audio and video media content is growing at an unprecedented rate. Organizations are using media to engage with their audiences like never before. Product documentation is […]

Detect anomalies in operational metrics using Dynatrace and Amazon Lookout for Metrics

Organizations of all sizes and across all industries gather and analyze metrics or key performance indicators (KPIs) to help their businesses run effectively and efficiently. Operational metrics are used to evaluate performance, compare results, and track relevant data to improve business outcomes. For example, you can use operational metrics to determine application performance (the average […]

Accenture promotes machine learning growth with world’s largest private AWS DeepComposer Battle of the Bands League

April 2023 Update: Starting January 31, 2024, you will no longer be able to access AWS DeepLens through the AWS management console, manage DeepLens devices, or access any projects you have created. To learn more, refer to these frequently asked questions about AWS DeepLens end of life. Accenture is known for pioneering innovative solutions to achieve […]

Scale your Amazon Kendra index

Amazon Kendra is a fully managed, intelligent search service powered by machine learning. Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for. Using keyword or natural language queries, employees and customers can find the right content even when it’s scattered across […]