AWS Public Sector Blog

Category: Technical How-to

Hosting streaming video for your nonprofit with Video on Demand on AWS 

Many nonprofit organizations rely on video content to spread their missions, boost membership, and raise funds. This content can range from smartphone-recorded testimonials about your organization to highly produced marketing content, and everything in between. In this blog post, learn how to use the Video on Demand on AWS solution to more simply share videos with your viewers around the world. By implementing this solution, your organization can spend less time building infrastructure, letting you focus instead on creating impactful content.

Improving the customer experience for high-traffic public services: An architecture guidance

Improving the customer experience (CX) has emerged as an imperative for government agencies. In this blog post, learn an architecture pattern that public institutions can use to improve CX while building and deploying secure, resilient, and performant web applications that support sudden surges in demand for public services. This architecture pattern addresses the need of an example use case in which an agency must request information from thousands to millions of civilians, who may access a single-page application at similar times, and then sends email notifications to each civilian to confirm their activity.

Managing nonprofit members and donors with CiviCRM on AWS

Managing donors, members, and constituents is essential to the success of most nonprofits. Customer relationship management (CRM) systems, like the no-cost, nonprofit-focused CiviCRM, are an important part of this process. In this post, learn how to deploy CiviCRM using AWS, and explore an architecture for deploying CiviCRM in a way that is highly available and resilient to service disruptions or events.

traffic on the road

Amazon Connect helps departments of motor vehicles modernize call centers

In the last few years, many state motor vehicle departments agencies quickly transformed their processes and adopted new procedures to accommodate changes caused by the COVID-19 pandemic, like social distancing, contactless interactions, decreased staffing, and other constraints. Now, agencies can build upon these changes by modernizing their systems with intelligent automation—transitioning from reactive to proactive engagements with their citizens. Learn how to use AWS to connect and retrieve data either from an enterprise on-premises database or other third-party integration that allows for both a modernized outreach or an inbound customer experience.

Reduce mean time to contain (MTTC) on incidents against digital citizen services

Reduce mean time to contain (MTTC) on incidents against digital citizen services

Attacks on digital citizen services can cause citizens to lose trust in their governments. Services such as real estate land title searches, emergency response, and more need to be operational in times of need. As an IT leader for digital citizen services, your mission to automate incident management runbooks is necessary. Learn how the automation of incident response starts with what you already have: your existing incident response runbook.

Designing an educational big data analysis architecture with AWS

In this blog post, learn a high-level architecture, built on AWS, that uses a graph database to analyze unstructured and structured educational data that can, for example, help inform a recommendation to a student for the appropriate courses to take in their next semester based on multiple personalized data factors.

How to build an Aadhaar Data Vault on AWS

An Aadhaar number is a 12-digit unique identification number issued by the Unique Identification Authority of India (UIDAI) to every individual in India. Considering the sensitivity of the Aadhaar number and the potential implication of having one’s Aadhaar number compromised, UIDAI mandated the need for all Aadhaar and Aadhaar-related data to be encrypted and stored separately in a secure, access-controlled data repository known as an Aadhaar Data Vault. This blog post explains how government and private entities that collect, process, and store Aadhaar data for various use cases can use AWS CloudHSM from AWS to create an Aadhaar data storage solution that can meet guidelines provided by UIDAI.

Predicting diabetic patient readmission using multi-model training on Amazon SageMaker Pipelines

Diabetes is a major chronic disease that often results in hospital readmissions due to multiple factors. An estimated $25 billion is spent on preventable hospital readmissions that result from medical errors and complications, poor discharge procedures, and lack of integrated follow-up care. If hospitals can predict diabetic patient readmission, medical practitioners can provide additional and personalized care to their patients to pre-empt this possible readmission, thus possibly saving cost, time, and human life. In this blog post, learn how to use machine learning (ML) from AWS to create a solution that can predict hospital readmission – in this case, of diabetic patients – based on multiple data inputs.

Enhance the citizen experience with deep learning-powered suggestions

Citizens want to report issues to their local governments in a fast and simple manner and not have to worry about identifying the right government agency or phone number—for instance, if a fire hydrant is broken, or a road sign has fallen over. In this blog post, learn how to set up a solution with AWS deep learning services that creates a fluid experience for reporting and addressing these issues.