Category: Amazon Machine Learning

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 […]

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 […]

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, […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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. […]