Category: Amazon SageMaker

There were a large number of new service announcements as well as partner and solution announcements that came out of AWS re:Invent 2022. To make it easy for advertising and marketing technology customers, we have identified a list of top announcements specific to this industry. Session summaries and access details to content on demand is […]

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 The purpose of this blog is to demonstrate one method of how effortlessly you can automate the data extraction, transformation, and building of an accurate power-demand forecasting pipeline using Amazon Web Services (AWS) services, such as Amazon Forecast, a time-series forecasting service based on machine learning (ML). This blog describes how Power Trading Corporation […]

EDF Energy (EDF) is one of the United Kingdom’s leading energy retailers, supplying over 3.5 million homes and businesses with low-carbon electricity and gas. EDF is on a mission to help Britain achieve net zero while being the United Kingdom’s biggest generator of zero-carbon electricity, with a mix of solar, wind, and nuclear generators. The […]

In the first blog – Digital Twin Data Middleware with AWS and MongoDB – we discussed the business implications of the digital twin challenge and how MongoDB and AWS are well positioned to solve them. In this blog, we’ll dive into technical aspects of solving the digital twin challenge. That is, showing you how MongoDB […]

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 […]

Industry challenge Every tax season, global financial technology company Intuit faces high demand from over 100 million customers seeking advice for preparing their taxes on its artificial intelligence (AI)–driven expert platform. To uphold its mission of powering prosperity around the world, Intuit transformed its systems and infrastructure using the latest technologies from Amazon Web Services […]

Visit our booth The world’s largest industrial conference, Hannover Messe begins on April 17th, 2023 in Hannover Germany. Once again, look for Amazon Web Services to have a large presence at the event, but in a different location than previous years, in Hall 15 booth D74 right by the main entryway. To get your free […]

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 […]