AWS Public Sector Blog

Category: Amazon DynamoDB

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Improving customer experience for the public sector using AWS services

Citizens are increasingly expecting government to provide modern digital experiences for conducting online transactions. Market research tells us 63 percent of consumers see personalization as the standard level of service. This post offers various architectural patterns for improving customer experience for the public sector for a wide range of use cases. The aim of the post is to help public sector organizations create customer experience solutions on the Amazon Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.

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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.

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AWS Partner Kokomo24/7 transforms Los Angeles Unified School District’s health data system in one year

Kokomo24/7 is a health and safety software education technology (EdTech) platform committed to creating safer schools and communities. Kokomo used Amazon Web Services (AWS) database and analytics tools to create a health-tracking platform that allowed the Los Angeles Unified School District (LAUSD), the second-largest school district in the US, to cut its costs by 50 percent while improving flexibility and response times.

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Germany’s International University of Applied Sciences automates creation of educational videos using generative AI, serverless on AWS

The International University of Applied Sciences (IU) maintains 90 percent of its course content online. Through its online programs, IU aims to give people worldwide access to highly individualized education, enabling them to further enrich their lives. The large majority of IU’s infrastructure runs on Amazon Web Services (AWS). Read this post to learn why IU worked directly with AWS experts through the Experience-Based Acceleration (EBA) program to expand their automated video generation pipelines to be more scalable, modular, and robust.

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Wake Forest University builds novel, robust alumni and student app on AWS

Wake Forest is a leading private university in the US with close to 9,000 enrolled students and almost 7,000 faculty and staff. With more than 82,000 degree recipients across all 50 US states and 103 foreign countries, its broader community is vast and growing. To make the most of this diverse community, university leaders want to create connections between individuals across graduating classes, disciplines, and geographies. This post highlights how the school used Amazon Web Services (AWS) to build a solution that brings its whole community closer. 

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UC Davis Health Cloud Innovation Center, powered by AWS, uses generative AI to fight health misinformation

The University of Pittsburgh, the University of Illinois Urbana-Champaign (UIUC), the University of California Davis Health Cloud Innovation Center (UCDH CIC)—powered by Amazon Web Services (AWS)—and the AWS Digital Innovation (DI) team have built a prototype that uses machine learning (ML) and generative artificial intelligence (AI) to transform the public health communications landscape by giving officials the tools they need to fight medical misinformation, disinformation, and malinformation.

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Disaster response and risk management using PNNL’s Aether framework on AWS

The Pacific Northwest National Laboratory (PNNL) developed Aether as a reusable framework for sharing data and analytics with sponsors and stakeholders. Aether is a mature cloud-centered framework designed using Amazon Web Services (AWS) serverless services to provide a cost-effective and reliable environment for a dozen projects currently deployed with the framework. Read this post to learn more about how Aether’s serverless-first approach is enabling disaster response and risk management.

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How Pearson improves its resilience with AWS Fault Injection Service

Chaos engineering, often misunderstood as intentionally breaking the production environment, aligns with the Amazon Web Services (AWS) Well-Architected Reliability pillar. Its purpose is to methodically simulate real-world disruptions in a controlled manner, spanning service providers, infrastructure, workloads, and individual components. In this blog post, we show how Pearson PLC, an AWS education technology (EdTech) customer, successfully implemented resilient architectures through chaos engineering using AWS Fault Injection Service (FIS).

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Indiana DOC works with Mi-Case to fast-track offender management system launch on AWS

In 2021, the Indiana Department of Correction (IDOC) awarded a contract to Mi-Case, an Amazon Web Services (AWS) Partner, to replace its legacy systems managing case data across the state’s corrections facilities. The project kicked off in February 2021 and the new web and cloud-based offender management system (OMS) went live in May 2023. Read this blog post to learn why implementations like it routinely take several years and why this project was different.

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Eutelsat increases service availability by migrating to AWS

Eutelsat Group, the world’s first satellite operator to provide an integrated geosynchronous equatorial and low-Earth orbit (GEO-LEO) infrastructure, recently migrated their existing on-premises commercial Hadoop cluster to Amazon Web Services (AWS). Read this blog post to learn how Eutelsat reduced licensing costs by 50 percent, increased service availability to more than 99.8 percent, and decreased incidents after the migration.