AWS for Industries

Category: Amazon Kinesis

Simplified and scalable data integration for Telco BSS

Simplified and scalable data integration for Telco BSS

Telcos often face challenges integrating data spread across multiple BSS domains. The siloed nature of these domains means data is typically not transferable or compatible with other domains. In this post, we explore specific challenges faced by Telcos and how we could design a scalable data integration solution on AWS using the concepts outlined in […]

How NOV solved critical oilfield operations using Databricks Data Intelligence Platform

How NOV solved critical oilfield operations using Databricks Data Intelligence Platform

The global demand for oil remains high as it powers transportation, industries, and electricity worldwide. One facet of the energy lifecycle is drilling, where drilling operators face numerous challenges in maintaining consistent oil supply to meet this demand. They must navigate harsh environments using heavy machinery with precision, while controlling costs and risks. Drilling operators […]

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 […]

AWS Travel and Hospitality Competency Partners you should know: SequenceShift

AWS Travel and Hospitality Competency Partners you should know: SequenceShift

SequenceShift recently became the forty-seventh  Amazon Web Services (AWS) for Travel and Hospitality Competency Partner. I had the opportunity to interview Dmitri Muntean, Managing Director at SequenceShift, and Brad Fischer, Director of Partnerships at SequenceShift, to learn more about the company and their collaboration with AWS. 1. Congratulations on achieving Travel and Hospitality Competency Partner […]

Low latency cloud-native exchanges feature card

Low latency cloud-native exchanges

Large capital market infrastructure providers (specifically exchanges) around the world use the cloud to accelerate their innovation and modernization journey. Trading workloads present unique challenges, including low latency responses, low jitter network performance, and ensuring fairness. With different services and features, Amazon Web Services (AWS) enable exchanges to develop use cases built with cloud-native services […]

How digital twins can optimize Travel and Hospitality operations

How digital twins can optimize Travel and Hospitality operations

One of the most frequent requests we hear from travel and hospitality (T&H) businesses and technology leaders is, “How can we use technology to optimize operations?” Optimizing operations is complex and if not done properly can lead to penalties, loss of yield, and the erosion of brand loyalty. In this blog, we’ll explore how travel […]

Financial Services Spotlight – Amazon Managed Service for Apache Flink

In this edition of the Financial Services Industry (FSI) Services Spotlight monthly blog series, we highlight five key considerations for customers who process and analyze streaming data on Amazon Managed Service for Apache Flink: achieving compliance, data protection, isolation of compute environments, audits with APIs, and access control/security. Across each area, we will examine specific guidance, suggested […]

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 […]