AWS for Industries

Category: Amazon Redshift

re:Invent 2024 recap for the manufacturing industry

Another re:Invent is behind us, and attendees had a busy week of learning at technical sessions, exploring interactive demos in the expo, networking with peers, and having some fun. We showcased an interactive e-bike machine in the Venetian Expo where attendees got a hands-on experience from a simulated factory and multiple practical use cases. We […]

Real-time Analytics on Patient Bedside Medical Devices

Real-time Analytics on Patient Bedside Medical Devices

Introduction The Children’s Hospital of Philadelphia (CHOP) recently created a proof of concept (POC) to ingest real-time HL7 data from bedside medical devices into AWS for processing and analysis. The Children’s Hospital of Philadelphia (CHOP), is the first hospital in the United States dedicated exclusively to the care of children. While its flagship campus is […]

Seeq and AspenTech accelerate self-service industrial analytics on AWS

Seeq and AspenTech accelerate self-service industrial analytics on AWS

Introduction Seeq, a global leader in advanced analytics for process manufacturing industries, uses Amazon Web Services (AWS) to power its software-as-a-service (SaaS) platform for industrial time-series analytics. Seeq helps process experts, equipment experts, and data scientists perform advanced analytics for industry at scale. Drive your sustainability and operational excellence goals faster and more easily than […]

AJE Group Spurs Digital Transformation Using AWS Solutions

AJE Group Spurs Digital Transformation Using AWS Solutions

In an ever-evolving world, how does a multinational consumer packaged goods (CPG) company with operations in more than 20 countries around the globe stay on the cutting edge of innovation? That was the challenge facing Peruvian CPG multinational AJE Group (AJE), one of the largest beverage companies in the world., when it decided to embark […]

How Annalect Super-Charged Cross-Company Collaboration with Data Mesh

How Annalect Super-Charged Cross-Company Collaboration with Data Mesh

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 […]

Enable Intelligent Insights for Telecom Networks Using AWS BI Capabilities

Enable Analytics and Insights for Telecom Networks

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, […]

Feature card_how databricks on AWS helps optimize real-time bidding

How Databricks on AWS helps optimize real-time bidding using machine learning

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, […]

How Lunar Energy is using AWS to create a customer-led energy system

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, […]

advertising and marketing recap feature card

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 […]