AWS Machine Learning Blog

Category: Case Study

Label text for aspect-based sentiment analysis using SageMaker Ground Truth

This blog post was last reviewed and updated August, 2022 with revised sample document links. The Amazon Machine Learning Solutions Lab (MLSL) recently created a tool for annotating text with named-entity recognition (NER) and relationship labels using Amazon SageMaker Ground Truth. Annotators use this tool to label text with named entities and link their relationships, thereby […]

Industrial automation at Tyson with computer vision, AWS Panorama, and Amazon SageMaker

This is the first in a two-part blog series on how Tyson Foods, Inc., is utilizing machine learning to automate industrial processes at their meat packing plants by bringing the benefits of artificial intelligence applications at the edge. In part one, we discuss an inventory counting application for packaging lines built using Amazon SageMaker and […]

Develop an automatic review image inspection service with Amazon SageMaker

This is a guest post by Jihye Park, a Data Scientist at MUSINSA.  MUSINSA is one of the largest online fashion platforms in South Korea, serving 8.4M customers and selling 6,000 fashion brands. Our monthly user traffic reaches 4M, and over 90% of our demographics consist of teens and young adults who are sensitive to […]

How ReliaQuest uses Amazon SageMaker to accelerate its AI innovation by 35x 

Cybersecurity continues to be a top concern for enterprises. Yet the constantly evolving threat landscape that they face makes it harder than ever to be confident in their cybersecurity protections.

To address this, ReliaQuest built GreyMatter, an Open XDR-as-a-Service platform that brings together telemetry from any security and business solution, whether on-premises or in one or multiple clouds, to unify detection, investigation, response, and resilience.

In 2021, ReliaQuest turned to AWS to help it enhance its artificial intelligence (AI) capabilities and build new features faster.

Evolution of Cresta’s machine learning architecture: Migration to AWS and PyTorch

Cresta Intelligence, a California-based AI startup, makes businesses radically more productive by using Expertise AI to help sales and service teams unlock their full potential. Cresta is bringing together world-renowned AI thought-leaders, engineers, and investors to create a real-time coaching and management solution that transforms sales and increases service productivity, weeks after application deployment. Cresta […]

Simplified MLOps with Deep Java Library

This is a guest post by Lucas Baker, Andrea Duque, and Viet Yen Nguyen of Hypefactors.   At Hypefactors, we build tech for media intelligence and reputation management. The solution is a software as a service (SaaS) product that does large-scale media monitoring of social media, news sites, TV, radio, and reviews across the world. The […]

How Careem is detecting identity fraud using graph-based deep learning and Amazon Neptune

This post was co-written with Kevin O’Brien, Senior Data Scientist in Careem’s Integrity Team. Dubai-based Careem became the Middle East’s first unicorn when it was acquired by Uber for $3.1 billion in 2019. A pioneer of the region’s ride-hailing economy, Careem is now expanding its services to include mass transportation, delivery, and payments as an […]

Bushfire mitigation through Machine Learning with AusNet and AWS

Eastern Australia is among the most fire-prone regions in the world. Although bushfires are a regular occurrence in Australia, the 2019–2020 bushfire crisis set ablaze over 17 million hectares of land (larger than the size of England), costing the Australian economy more than $100 billion between property, infrastructure, social, and environmental costs. With increasingly extreme […]

Automated claims processing at Xactware with machine learning on AWS

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 […]

How iProperty.com.my accelerates property-based ML model delivery with Amazon SageMaker

This post was created in collaboration with Mohammed Alauddin, Data Engineering and Data Science Regional Manager, and Kamal Hossain, Lead Data Scientist at iProperty.com.my, now part of PropertyGuru Group. iProperty.com.my is the market-leading property portal in Malaysia and is now part of the PropertyGuru Group. iProperty.com.my offers a search experience that enables property seekers to […]