Category: Uncategorized

The AWS Machine Learning Operations (MLOps) framework is an iterative and repetitive process for evolving AI models over time. Like DevOps, practitioners gain efficiencies promoting their artifacts through various environments (such as quality assurance, integration, and production) for quality control. In parallel, customers rapidly adopt multi-account strategies through AWS Organizations and AWS Control Tower to […]

This blog post was co-authored, and includes an introduction, by Aaron Brunko, Senior Vice President, Claims Product at Xactware. Property insurance claims involving the valuation and replacement of personal belongings can be a painful process for everyone involved after a loss. From catastrophic events such as hurricanes, tornados, and wildfires, to theft and vandalism, claim […]

As a data scientist attempting to solve a problem using supervised learning, you usually need a high-quality labeled dataset before starting your model building. Amazon SageMaker Ground Truth makes dataset building for a different range of tasks, like text classification and object detection, easier and more accessible to everyone. Ground Truth also helps you build […]

The AWS Machine Learning Research Awards (MLRA) provides unrestricted cash funds and AWS Promotional Credits to academics to advance the frontiers of machine learning (ML) and its applications. MLRA is pleased to announce winners for its 2019 Q2/Q3 call-for-proposal cycles: Mohit Bansal, University of North Carolina Chapel Hill, Auto-Adversarial Training to Make Dialogue Systems Robust […]

Note: Amazon Elastic Inference is no longer available. Please see Amazon SageMaker for similar capabilities. The new release of MXNet 1.4 for Amazon Elastic Inference now includes Java and Scala support. Apache MXNet is an open source deep learning framework used to build, train, and deploy deep neural networks. Amazon Elastic Inference (EI) is a […]

The inaugural Amazon re:MARS event pairs the best of what’s possible today with perspectives on the future of machine learning, automation, robotics, and space travel. Based on the exclusive MARS event founded by Jeff Bezos, Amazon re:MARS brings together the world of business and technology in a premier thought-leadership event. With more than 100 sessions, […]

Beth Israel Deaconess Medical Center has launched a multi-year, innovative research program on how machine learning can improve patient care, supported by an academic research sponsorship grant from AWS.  The Harvard Medical School-affiliated teaching hospital will use a broad array of AWS machine learning services to uncover new ways that machine learning technology can enhance […]

Facial recognition technology significantly reduces the amount of time it takes to identify people or objects in photos and video. This makes it a powerful tool for business purposes, but just as importantly, for law enforcement and government agencies to catch criminals, prevent crime, and find missing people. We’ve already seen the technology used to […]

In the previous blog post, we showed you how to string together Amazon Transcribe and Amazon Comprehend to be able to conduct sentiment analysis on call conversations from contact centers. Here, we demonstrate how to leverage AWS CloudFormation to automate the process and deploy your solution at scale. Solution Architecture The following diagram illustrates architecture that […]

AWS Training and Certification recently released free digital training courses that will make it easier for you to build your cloud skills and learn about machine learning (ML) and artificial intelligence (AI). This includes new courses like Introduction to Deep Learning and Introduction to Amazon SageMaker. You can get free and unlimited access to more than 100 new […]