AWS Machine Learning Blog

Announcing the launch of Amazon Comprehend Events

Every day, financial organizations need to analyze news articles, SEC filings, and press releases, as well as track financial events such as bankruptcy announcements, changes in executive leadership at companies, and announcements of mergers and acquisitions. They want to accurately extract the key data points and associations among various people and organizations mentioned within an […]

Bringing your own R environment to Amazon SageMaker Studio

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). With a single click, data scientists and developers can quickly spin up SageMaker Studio notebooks to explore datasets and build models. On October 27, 2020, Amazon released a custom images feature that allows you to launch SageMaker Studio notebooks with […]

Building natural conversation flows using context management in Amazon Lex

Understanding the direction and context of an ever-evolving conversation is beneficial to building natural, human-like conversational interfaces. Being able to classify utterances as the conversation develops requires managing context across multiple turns. Consider a caller who asks their financial planner for insights regarding their monthly expenses: “What were my expenses this year?” They may also […]

Customizing your machine translation using Amazon Translate Active Custom Translation

When translating the English phrase “How are you?” to Spanish, would you prefer to use “¿Cómo estás?” or “¿Cómo está usted?” instead? Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Today, we’re excited to introduce Active Custom Translation (ACT), a feature that gives you more control over […]

Getting started with Amazon Kendra ServiceNow Online connector

Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). To make it simple to search data across multiple content repositories, Amazon Kendra offers a number of native data source connectors to help get your documents easily ingested and indexed. This post describes how you can use the Amazon […]

Amazon Augmented AI is now a HIPAA eligible service

Amazon Augmented AI (Amazon A2I) is now a HIPAA eligible service. Amazon A2I makes it easy to build the workflows required for human review of machine learning (ML) predictions. HIPAA eligibility applies to AWS Regions where the service is available and means you can use Amazon A2I add human review of protected health information (PHI) […]

How DeepMap optimizes their video inference workflow with Amazon SageMaker Processing

Although we might think the world is already sufficiently mapped by the advent of global satellite images and street views, it’s far from complete because much of the world is still uncharted territory. Maps are designed for humans, and can’t be consumed by autonomous vehicles, which need a very different technology of maps with much […]

Automating business processes with machine learning in the COVID-19 pandemic

COVID-19 has changed our world significantly. All of this change has been almost instantaneous, forcing companies to pivot quickly and find new ways to operate. Automation is playing an increasingly important role to help companies adjust. The ability to automate business processes with machine learning (ML) is unlocking new efficiencies and allowing companies to move […]

Helping small businesses deliver personalized experiences with the Amazon Personalize extension for Magento

This is a guest post by Jeff Finkelstein, founder of Customer Paradigm, a full-service interactive media firm and Magento solutions partner. Many small retailers use Magento, an open-source ecommerce platform, to create websites or mobile applications to sell their products online. Personalization is key to creating high-quality ecommerce experiences, but small businesses often lack access […]

Detecting hidden but non-trivial problems in transfer learning models using Amazon SageMaker Debugger

Rapid development of deep learning technology has produced an abundance of open-sourced, pre-trained models in computer vision and natural language processing. As a result, transfer learning has become a popular approach in deep learning. Transfer learning is a machine learning technique where a model pre-trained on one task is fine-tuned on a new task. Given […]