Category: Amazon Redshift

Generative AI, large language models (LLMs), and an ever-increasing emphasis on the value of data, has enterprises worldwide scrambling to optimize their data architecture and assets. This is in anticipation of a never-before-seen demand. Many organizations have solely focused on pulling all their data assets into one place with little consideration of the support required […]

Telecom networks generate voluminous fault, configuration, accounting, performance, and security (FCAPS) data. Communication Service Providers (CSPs) are looking at ways to use this data efficiently to improve the network health, as well as reduce Mean Time to Detect (MTTD), and Mean Time to Resolve (MTTR). They want to increase the service uptime, reduce spectrum interference, […]

Real-time Bidding (RTB) has transformed online advertising by automating ad transactions through auctions, enhancing efficiency and precision. However, RTB faces challenges like transparency issues and ad fraud risks. Using Databricks on Amazon Web Services (AWS) addresses these challenges with the Databricks Real-time Bidding Accelerator, which leverages machine learning and predictive analytics to optimize RTB strategies, […]

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 […]

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, […]

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 […]

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 […]

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 […]