AWS for Industries

Category: Industries

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

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 what this year’s customer keynote speakers shared on […]

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 […]

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 […]

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 […]

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. […]

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 […]

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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Practical Applications of Artificial Intelligence and Machine Learning to Fuel Growth for CPG Companies

The concept of artificial intelligence (AI) has been around for centuries as philosophers and thinkers pondered the possibility of creating machines capable of thinking and functioning like humans. The advent of computers in the early 20th century finally placed the promise of AI within reach. However, computer scientists realized they needed enormous amounts of data […]

Best Practices for Manufacturing OT Security

This post was co-written with Russell de Pina, former Senior Partner Solutions Architect at AWS Introduction In manufacturing plants, there have been IT systems used for creating, managing and processing enterprise business data and separate OT (Operational Technology) systems used for managing operations of factories and industrial equipment. As manufactures connect their OT systems to […]

Reinventing Automotive Engineering for Software-Defined Vehicles

As software-defined vehicles (SDVs) move from a vision to reality, car manufacturers must reinvent the vehicle development process to accelerate technical development and enhance the in-vehicle driving experience. The standard development of a new vehicle takes a hardware-driven approach. It starts with documenting all requirements, creating a concept, and sourcing the hardware components. Therefore, the […]