AWS for Industries
Category: Amazon Redshift
How Lunar Energy is using AWS to create a customer-led energy system
Lunar Energy (Lunar) has a mission to power homes around the world with endless clean energy. Recognizing the urgent need to reduce carbon emissions and combat climate change, Lunar is focused on building the digital infrastructure needed to build a resilient, distributed energy system. As homes electrify by adding distributed energy resources (DERs)—such as solar […]
Implement FAIR scientific data principles when building HCLS data lakes
The FAIR data principles were first proposed in a seminal paper published in 2016 in the Journal Scientific Data. It was written by a group of international experts in data management and curation. To address the challenges that the research community is facing, they proposed FAIR Principles as a framework for making data more discoverable, […]
Top re:Invent 2022 takeaways for the advertising and marketing technology industry
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 […]
CPG Partner Conversations: Lemongrass’s cloud-native approach fuels CPG companies
The COVID-19 pandemic created unprecedented disruption to businesses and global markets. Now, most of the world appears to be past the uncertainty and turbulence of the pandemic. However, companies, especially in the consumer packaged goods (CPG) industry, continue to deal with major challenges, like supply chain disruptions and labor shortages. At the same time, consumer […]
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 […]
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, […]
Making Site Selection Decisions Easy With AWS Data Exchange for Amazon Redshift
Many quick service restaurants (QSRs) and dining brands rely on third-party point-of-interest data to understand if they’re making the right market expansion moves. For example, a QSR looking to place its first location in New York City may want to know the clustering of bars and nightlife venues in Manhattan to set hours of operation […]
CPG Partner Conversations: Manage Your Business Through Market Disruptions with Sigmoid’s Advanced Analytics Solutions
The COVID-19 pandemic created unprecedented disruption to businesses and global markets. Although most of the world appears to be past the uncertainty and turbulence of the pandemic, companies, especially in the consumer packaged goods (CPG) industry, continue to deal with major challenges. These include supply chain disruptions and labor shortages. Simultaneously, consumer buying patterns and […]
A Reference Architecture for a Front Office Risk Store
Robert Butcher, Solution Architect, Global Financial Services, AWS Front Office risk data is the lifeblood of Investment Banks. It informs every trading decision that they take, both commercial and prudential, and it’s critical for planning and regulatory reporting purposes. In this post, we present a reference architecture for a Front Office Risk Store (risk store) […]
How to Integrate Your AWS Cloud-Native Dynamic Supply Chain Application With External Systems
In our previous blog, How to build a dynamic supply chain platform: a primer, we discussed how companies can use Amazon Web Services (AWS) to build a dynamic supply chain that can proactively react to events and also provide complete visibility, communication, and data transfer. By collecting and analyzing near-real-time supply chain data, companies can […]