Category: AWS

AWS FeedBuild your own brand detection and visibility using Amazon SageMaker Ground Truth and Amazon Rekognition Custom Labels – Part 2: Training and analysis workflows In Part 1 of this series, we showed how to build a brand detection solution using Amazon SageMaker Ground Truth and Amazon Rekognition Custom Labels. The solution was built on…

AWS FeedWeatherBug reduced ETL latency to 30 times faster using Amazon Redshift Spectrum This post is co-written with data engineers, Anton Morozov and James Phillips, from Weatherbug. WeatherBug is a brand owned by GroundTruth, based in New York City, that provides location-based advertising solutions to businesses. WeatherBug consists of a mobile app reporting live and…

AWS FeedPrepare and visualize time series datasets in Amazon SageMaker Data Wrangler Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data…

AWS FeedSimulated location data with Amazon Location Service Modern location-based applications require the processing and storage of real-world assets in real-time. The recent release of Amazon Location Service and its Tracker feature makes it possible to quickly and easily build these applications on the AWS platform. Tracking real-world assets is important, but at some point when…

AWS FeedAWS Partner Engagement Principles Guide How We Collaborate with Partners Every Day The AWS Partner Network (APN) is an integral part of our commitment to providing customers of all sizes and in any industry around the world with the most advanced, reliable, and secure cloud services. We recognize that AWS Partners are uniquely qualified…