AWS Public Sector Blog
Tag: partner story
Meeting the challenges of South African higher education on AWS
Many South African institutions of higher learning are suffering from underfunding, which affects their ability to remediate these issues. Students in South Africa face numerous challenges as well. Statistics from StatsSA report a 45.5 percent unemployment rate among young individuals (aged 15–34 years). And limited educational opportunities and economic disadvantages are the primary factors driving elevated rates of unemployment. This post highlights the impact that reliable and efficient education systems can have on reducing the challenges facing higher education in South Africa.
Acentra Health processes 35M Medicare documents 50% faster with IDP on AWS
Acentra Health helps Medicare beneficiaries file quality of care complaints and appeals regarding early hospital discharge or early termination of skilled services. Processing these cases requires meticulous data entry from patient records and forms related to prior authorization notices, patient care, and case management, which often consist of complex medical history. To better support its clients, Acentra Health implemented an intelligent document processing (IDP) solution using Amazon Web Services (AWS). Read this post to learn how their IDP solution reduced document processing times and lowered costs.
Peraton consolidates data centers and migrates to AWS
Peraton is a mission capability integrator and delivers enterprise IT around the world. They are also an Amazon Web Services (AWS) Premier Tier Services Partner with competencies in government, DevOps, and migration. Peraton’s IT infrastructure and technology strategy are designed to support the delivery of mission-critical services and solutions to its customers at a global scale. In this post, we explore how Peraton used AWS to migrate and build out a virtual data center in AWS GovCloud (US) Regions within a six-month time frame with an advanced and secure end-state architecture.
Streamlining digital transformation in German healthcare with AWS
Healthcare organizations worldwide are leveraging Amazon Web Services (AWS) and partner solutions to modernize, transform, and innovate their businesses. Ensuring the availability and security of critical applications is paramount. For example, two renowned German medical facilities, Fachklinikum Mainschleife and Max Grundig Klinik, needed to modernize their IT infrastructure to comply with stringent regulatory requirements outlined in the country’s Law for Accelerating the Digitalization of Healthcare (DigiG). Reliable and compliant service offerings from AWS enabled the medical facilities to provide reliable access to essential systems.
EdTech innovator Sibme, powered by AWS, provides educators with AI-based instructional feedback
As a teacher with the KIPP charter school network in Houston, Texas, Dave Wakefield knew there had to be a better way for educators to gain insightful feedback on their instruction. Traditionally, educators who wanted feedback on their teaching either had to have someone visit their classroom or film themselves and then send that video to a mentor or peer for review. In 2013, Wakefield founded education technology (EdTech) company Sibme as a way to use technology, powered by Amazon Web Services (AWS), to help educators access quicker and more reliable feedback.
Singapore’s EVe harnesses the power of data with help from NTT DATA, AWS
In alignment with Singapore’s ambitious sustainability objectives, the Land Transport Authority (LTA) of Singapore is intensifying its efforts to spur the adoption of electric vehicles. This contributes to the nation’s goal of achieving 100 percent cleaner energy vehicles by 2040, and the effort leverages Amazon Web Services (AWS). LTA has set up EV-Electric Charging Pte Ltd (EVe) to manage the deployment of up to 12,000 electric vehicle (EV) charging points distributed across 2,000 Housing Development Board (HDB) carparks.
Satellite mission operations using artificial intelligence on AWS
Cognitive Space is a leading Amazon Web Services (AWS) Partner delivering intelligent automation to satellite constellation operations using the CNTIENT platform. The system uses AWS-powered artificial intelligence (AI) decision making to handle highly complex and dynamic satellite tasking requirements, and demanding mission requirements. This blog post provides technical guidance for building and operating mission operation centers (MOCs) on AWS.
Generative AI for public agencies: 5 best practices for secure implementation
Generative artificial intelligence (AI) is revolutionizing public agencies by streamlining services and providing valuable insights from large datasets. However, adding generative AI to your agency is not a simple process. SMX, an Amazon Web Services (AWS) Premier Tier Services Partner, helped one nonprofit agency build a robust architecture in the AWS Cloud that provided them the foundation for building and implementing generative AI tools. In this guest post, experts from SMX explain five best practices they used to help this agency prepare for generative AI.
Singapore’s National Library Board aims to unlock country’s rich heritage with AR app built by AWS Partner NCS
The vision of Singapore’s National Library Board goes beyond making information accessible; the NLB is focused on bringing the richness of the nation’s cultural heritage right to the palm of your hand. As part of its LAB25 (Libraries and Archives Blueprint 2025) Singapore Storytellers initiative, the NLB seeks to nurture a stronger appreciation and understanding of the Singapore experience. To support this, Amazon Web Services (AWS) collaborated with Singapore-based NCS, a leading technology services firm, to create an interactive augmented reality (AR) web application prototype on the AWS Cloud.
ICF helps FDA accelerate the drug labeling review process with AWS machine learning
Within the Food and Drug Administration’s Center for Drug Evaluation and Research, the Division of Medication Error Prevention and Analysis (DMEPA) plays a critical role. DMEPA reviews premarket and postmarket drug labeling to minimize the risk of medication errors. In partnership with DMEPA, Amazon Web Services (AWS) Partner ICF is developing a machine learning (ML) prototype known as the Computerized Labeling Assessment Tool (CLAT). The prototype employs innovative applications of optical character recognition (OCR) technology and the novel use of computer vision techniques that will alleviate bottlenecks in and enhance the efficiency of the drug labeling review process.