AWS for Industries
Category: Amazon Machine Learning
How Machine Learning on AWS can help customers predict the risk of Automotive Part Recalls
This blog focuses on a potential method to use Long Short Term Memory (LSTM) machine learning models to help customers predict parts that are likely to become defects or recalls. Specifically, we show how predictions generated from an LSTM may provide customers with early indicators that generally out-perform existing manual processes and can help assist […]
Selecting the best automatic machine learning to meet your manufacturing needs
Introduction Machine learning (ML) has become a core technology in manufacturing, but it can be difficult to know which ML services and tools are best for your industrial operations. We will define and explain the use cases of when to use different Amazon Web Services (AWS) ML services. In an age of rapid innovation, manufacturing […]
Airline Resiliency and Recovery during Operational Disruptions with AWS
Introduction We often take for granted how easy it is to fly across the country or world on any given day. Yet, airlines face challenges, like unplanned weather events, wild fires, geopolitical events, logistical problems, and other external factors that impact their regular operations, more often than you’d expect. Such events lead to irregular operations, […]
BMW Group uses AWS ML solutions to drive personalized customer experiences
To personalize the customer experience, BMW Group uses data to power artificial intelligence (AI) and machine learning (ML) solutions from Amazon Web Services (AWS). All workflows must comply with stringent data privacy laws that vary among the 140 countries where BMW operates. BMW Group’s solution After obtaining permission from vehicle owners, BMW Group ingests data […]
NFL Next Gen Stats Expected Punt and Kickoff Return Yards: Q&A with the Amazon Machine Learning Solutions Lab
In this post, get a behind-the-scenes look from the Amazon Machine Learning (ML) Solutions Lab team on how the new Expected Return Yards stat from NFL Next Gen Stats was developed. Give us the main idea behind Expected Return Yards and how it came together. In collaboration with AWS over the last five years, the […]
Retail demand forecasting using AWS
Retailers use demand forecasting to anticipate customer needs and optimize supply decisions. Like most industries, demand forecasting in retail industry uses large amounts of historical data to predict future consumer demand. These forecasts depend upon analyses of variables that impact demand, such as seasonality, promotions, inventory levels, and market trends. Prediction accuracy is influenced by […]
Using Amazon Personalize to find the right doctor without a data scientist
Every day our digital experiences are highly infused with personalizations. Yet, the patient and clinical experience in healthcare remains mostly unaffected. We’ll show what a modern digital patient experience could look like, in which the patient gets recommended the right doctor or specialist for a particular illness based on the patient’s symptoms. Introduction Despite recent […]
Recapping re:Invent – What’s new in the Industrial and Manufacturing industry
Re:Invent 2022 is behind us, and if you didn’t make it to Las Vegas, you missed an exciting week of keynotes, sessions, announcements, and other content to help simplify and speed industrial digital transformation. Industrial customers had a lot to see and explore in the expo, Industry demo tent, and a variety of sessions. Highlights […]
AWS features Amazon HealthLake Imaging at RSNA22
Medical imaging plays a powerful role in diagnosis, treatment plans, and even medical research. To better help healthcare customers leverage imaging to deliver patient-centered care, AWS will be presenting purpose-built medical imaging solutions at RSNA22 in Chicago that can help improve clinical collaboration and accelerate innovation. The Radiological Society of North America (RSNA) 2022 is the […]
Road to zero-touch automation
At Mobile World Congress, Las Vegas 2022, I had the pleasure to feature on a panel. Mobile carriers are continuing down the path to zero-touch networks automation with the promised potential to eliminate manual errors, improve operational efficiency and reduce time to market for new services. Below are some of the highlights of panel discussion. […]