UK-based charity Lyra in Africa helps children in rural Tanzania attend and complete secondary school. Established in 2012, it has delivered 15 hostels for girls in rural government schools and provides an offline digital learning program to partner high schools, each with a computer lab with learning content preloaded on the computers. Lyra also works with two teacher training colleges to boost IT literacy among teachers. Until recently, the organization relied on service providers in the UK to collect donations from individual sponsors, but that was proving an expensive fundraising strategy. Lyra turned to AWS Partner Softcat to build a low-cost online donation platform on Amazon Web Services (AWS). The system has automated payment processing and recordkeeping that helps the charity automatically benefit from the UK government’s Gift Aid tax relief program.
Darwinbox wanted to reduce the time to infer resumes against job descriptions using PyTorch models. AWS Premier Partner Minfy helped them leverage Amazon SageMaker and AWS Inferentia to compile models with Neuron SDK and deploy them, achieving 87% faster inference without retraining. Key steps were compiling models with the Neuron SDK, extending SageMaker containers, using Inference Recommender to optimize configurations, and sending requests in mini-batches.
Javelo, a Tellent owned company, migrated to Amazon Web Services (AWS) and cut its infrastructure maintenance and support costs by 98 percent. The company was faced with strong growth and a looming international launch—and a need to innovate. It also needed to scale easily and build in strong security measures on a flexible infrastructure. Javelo worked with AWS Partner A1 Cloud Technologies to achieve its goals. Since migrating to AWS, it has seen a 200 percent increase in web traffic over 2 years and cut platform response times by 50 percent. Using AWS System Manager and AWS KMS they can easily comply with data regulations and focus on product innovation.
Across NATO’s 32 member states, today’s rapidly evolving threat landscape requires continuous modernization of advanced technology solutions, underscoring the strategic importance of the alliance’s digital transformation. This modernization effort demands speed, scale, security, and global innovation capabilities to stay ahead. Collaborating with technology leaders like Amazon Web Services (AWS) can accelerate innovation and NATO’s ability to deliver mission-ready solutions to counter known and emerging threats.
Healthcare organizations face tremendous pressure to meet patient and provider expectations. The imperative to maintain excellence in care delivery while driving operational efficiency has never been more critical. Forward-thinking healthcare institutions are embracing cloud solutions through AWS Marketplace to help them modernize infrastructure, optimize data management, and enhance operational workflows.
In the age of generative artificial intelligence (AI), data isn’t just king—it’s the entire kingdom. Our previous blog post, Anduril unleashes the power of RAG with enterprise search chatbot Alfred on AWS, highlighted how Anduril Industries revolutionized enterprise search with Alfred, their innovative chat-based assistant powered by Retrieval-Augmented Generation (RAG) architecture. In this post, we examine the technical intricacies that make this system possible.
To remain viable and continue to fulfill their mission, educational institutions are constantly seeking ways to optimize their IT costs while maintaining high-quality services. One often overlooked area for potential savings is the management of cloud resources, particularly Amazon Elastic Compute Cloud (Amazon EC2) instances. Many universities and colleges find themselves facing unexpected costs when EC2 instances are left running during off-peak hours or periods of inactivity. In this post, we explore how higher education customers can implement automatic shutdown mechanisms for EC2 instances, significantly reducing cloud expenses.
Learn how Benchmark Education Company worked closely with Amazon Web Services (AWS) to build a grading tool powered by generative artificial intelligence (AI) to help teachers dramatically reduce the time they spend grading open-ended assessments—while maintaining accuracy, privacy, and trust.