Category: Amazon SageMaker

Energy companies are still using architectures based on monolithic systems when managing and billing energy service contracts. Architectures where the billing processes have been built using stored procedures inside a database are common. These architectures limit the capabilities of the business units to create, manage, and invoice contracts based on new products and services, especially […]

Since it was released back in November 2022, the internet has been buzzing about ChatGPT. Since then, retailers having been asking two main questions: what is it, and how will it impact my business? Let’s dive into both, staying high-level, and see if we can make sense of all the hype. What is Generative AI? […]

TC Energy operates one of North America’s largest energy infrastructure portfolios, delivering the energy that millions of people rely on to power their lives in a sustainable way. TC Energy’s portfolio includes three complimentary energy infrastructure businesses: A 93,300 km network of natural gas pipelines that supplies more than 25 percent of the daily clean-burning […]

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 […]