AWS Public Sector Blog

Tag: Amazon DynamoDB

AWS branded background design with text overlay that says "Building the WIS 2.0 global weather cache on AWS"

Building the WIS 2.0 global weather cache on AWS

The World Meteorological Organization (WMO) wants to build and modernize a global weather framework with WMO Information Systems (WIS) 2.0 to enable and democratize unified access to critical, up-to-date weather data across the world. The WIS 2.0 system and the global cache provide a single point of access to improve the speed and accuracy with which forecasts can be generated while decreasing the time and capital requirements. This post describes the value of a global weather cache as well as the design and architecture for building the WIS 2.0 global weather cache on Amazon Web Services (AWS).

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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.

AWS branded background design with text overlay that says "AWS Partner Kokomo24/7 transforms Los Angeles Unified School District’s health data system in one year"

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.

AWS branded background design with text overlay that says "Wake Forest University builds novel, robust alumni and student app on AWS"

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. 

AWS branded background with text overlay that says "Nebraska Judicial Branch modernizes its Electronic Exhibits System using AWS"

Nebraska Judicial Branch modernizes its Electronic Exhibits System using AWS

More than 180 courts compose the Nebraska Judicial Branch, which together handle more than 285,000 cases annually and all of the case exhibits that come with such a workload. This blog post highlights the Judicial Branch’s journey to building an electronic exhibits system on Amazon Web Services (AWS).

Implement a secure, serverless GraphQL architecture in AWS GovCloud (US) to optimize API flexibility and efficiency

Implement a secure, serverless GraphQL architecture in AWS GovCloud (US) to optimize API flexibility and efficiency

GraphQL is a query language and server-side runtime system for application programming interfaces (APIs) that prioritizes giving clients exactly the information they request and no more. GraphQL can help public sector customers focus on their data and provide ways to explore the data in their APIs. Learn a reference architecture using serverless technologies that you can use to build GraphQL-enabled solutions in the AWS GovCloud (US) Regions to unify data access in real-time and simplify operations.

Extracting, analyzing, and interpreting information from Medicaid forms with AWS

Extracting, analyzing, and interpreting information from Medicaid forms with AWS

What if paper forms could be processed at the same speed as digital forms? What if their contents could be automatically entered in the same database as the digital forms? Medicaid agencies could analyze data in near real time and drive actionable insights on a single dashboard. By using artificial intelligence (AI) and machine learning (ML) services from AWS, Medicaid agencies can create this streamlined solution. In this walkthrough, learn how to extract, analyze, and interpret relevant information from paper-based Medicaid claims forms.