AWS for Industries

How AWS is supporting Buy Now Pay Later (BNPL)

The concept of purchasing an individual item in multiple installments is not new. Large department stores have offered this for decades in what is called layaway. Layaway is essentially “a purchasing agreement by which a retailer agrees to hold merchandise secured by a deposit until the price is paid in full by the customer” [1]. […]

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Changi Airport

Changi Airport Group Uses DIVA Digital Factory to Meet Global Travel Challenges alongside AWS and Accenture

Changi Airport Group (CAG) uses innovative technology to operate Singapore Changi Airport, one of the most-awarded airports in the world. At the onset of the COVID-19 pandemic in early 2020, the number of CAG’s passengers sharply decreased by 98 percent in a matter of weeks. Governments all over the world were also starting to impose […]

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Ten Memorable Customer Moments from 10 Years of AWS re:Invent

This year, Amazon Web Services (AWS) celebrated 10 years of AWS re:Invent. During that time, many customers have taken the re:Invent stage to share their stories and details of exciting innovations. To mark the occasion, here’s a look back at 10 memorable moments from a decade of re:Invent and look ahead to what this year’s […]

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AWS Joins MACH Alliance

AWS has joined the MACH Alliance, a group of independent software vendors advocating for an open, modern architecture for digital experiences. AWS is proud to participate in this group to facilitate innovation and better support enterprises, retailers, and CPG companies to deliver the best experiences for their customers. Early versions of the Amazon.com webstore were […]

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Industrial digital transformation: Using AWS to win freedom from pilot purgatory

Introduction Digital transformation is not a buzzword anymore. In fact, the last 18 months of the COVID-19 pandemic have upended the very nature of work to the extent that we are currently experiencing what many are calling the “Great Resignation.” The new normal is quite different; remote work is here to stay. If companies do […]

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Building Elastic HPC Clusters for EDA with Altair on AWS

Introduction Chip design is not only compute and memory intensive, it also requires varying amounts of resource in different Integrated Circuit (IC) design phases: some frontend tools are single threaded and CPU bound, while backend tools rely on high performance storage and large memory. Fixed-size compute farms on-premises result in jobs waiting in queue for […]

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Accelerating EDA with the Agility of AWS and NetApp Data Services

Introduction This post will walk you through the configuration of this powerful EDA solution and provide performance benchmarks. Semiconductor design simulation, verification, lithography, metrology, yield analysis, and many other workloads benefit from the scalability and performance of the AWS Cloud. For example, the by latest generation EC2 instance types enhance compute performance for these applications. […]

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Improve overall quality control in manufacturing: using ML at edge and central dashboards at scale

Introduction As the manufacturing industry evolves rapidly in the industry 4.0 era, industry professionals are exploring technologies to improve and optimize their industrial process. Building better products is one of the top priorities of industrials, along with reducing overall costs, increasing revenues, offering products at a lower price and reducing time to market. The critical […]

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In the News: Amazon Web Services’ Unique Value Proposition in Scaling Autonomous Vehicle (AV) Development and Deployment

This article originally appeared on Frost & Sullivan Within AVs, today’s focus is on improving the software stack’s detection, classification, path planning, and motion control modules while also securing the potential cyber vulnerabilities that may arise due to the increased electronic content. Connected and automated vehicles (CAVs) signal the start of a transformative era in the […]

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Perform interactive queries on your genomics data using Amazon Athena or Amazon Redshift (Part 2)

This is part 2 of a blog series – see part 1 for how to generate the data that is used in this blog. One of the main objectives of creating a data lake is to be able to perform analytics queries across large datasets to gain insights that would not be possible if the […]

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