Category: Amazon Redshift

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 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, […]

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 […]

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 […]

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) […]

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 […]

Consumer packaged goods (CPG) companies are undergoing massive transformations on multiple fronts to cater to the demands of ever-changing consumer behavior, new supply chain practices, and increasing competition with new market entrants. A survey conducted by Boston Consulting Group (BCG) with global business leaders, whose companies underwent a transformation over the past five years, suggests […]

Welcome back to the Financial Services Industry (FSI) Service Spotlight monthly blog series. Each month we look at five key considerations that FSI customers should focus on to help streamline cloud service approval for one particular service. Each of the five key considerations includes specific guidance, suggested reference architectures, and technical code that can be […]

In our previous blog, How to Build a Dynamic Supply Chain Platform: A Primer, we discussed how companies can proactively manage market events in a global supply chain using AWS. In this post, we will focus on how companies can manage customs clearance risk in the same supply chain by using AWS artificial intelligence and […]

Since the start of the pandemic, retail customers’ purchasing habits have shifted dramatically—and they’re not going back. From online shopping and curbside pickup to changing brand loyalties prompted by supply chain disruptions to purchase decisions strongly influenced by social media, the world of retail has changed for good. To compete, retailers need to reinvent their […]