Category: Artificial Intelligence

In July 2020, the AWS Public Sector Blog covered artificial intelligence (AI) and machine learning (ML) for education, best practices for moving your research workflows to the cloud, and more. For more blog highlights from this month, you can also check out The Brief.

In June, Australian startup and AWS EdStart Member Dystech, launched the world’s first screening app for dyslexia and motor dysgraphia. Dyslexia and dysgraphia impact between 10-20 percent of individuals worldwide. With this release, Dystech has the opportunity to change lives and accelerate testing for millions of individuals around globe. Dystech uses artificial intelligence (AI) and machine learning (ML) to create an app that transforms how education and healthcare organizations screen for this disorder.

Portland State University (PSU) is using machine learning (ML) to help students find the most effective pathways to graduation. By tracking the course history of successful graduates and presenting recommendations to current students, PSU can provide guardrails and best practices for a focused journey towards degree completion.

Chesterfield County Public Schools (CCPS) in Virginia uses machine learning on Amazon Web Services (AWS) to predict the county’s rate of chronic absenteeism in high schools. CCPS includes 64 schools and over 63,000 students. They started with a high-impact project that would use data the school system was already capturing about its students. to tackle predicting chronic absenteeism.

State governments are currently experiencing a spike in the number of applications for social benefit programs. These programs serve millions of people every year to support healthcare and to help keep them out of poverty. To address the surge, agencies are looking at cloud-based services including artificial intelligence (AI), conversational bots, and call centers to improve the customer experience as well as workforce productivity, provide more visibility for agency leadership into program performance, and help reduce fraud, waste, and abuse.

Students from two secondary schools on opposite sides of the world used AWS DeepRacer to learn about machine learning (ML). Using AWS DeepRacer, students from a school in Vancouver, Canada and Instanbul, Turkey learned how to design, train, and deploy a model car using ML. These students competed on virtual racetracks against each other—all within the AWS Management Console.

Streetlives, a nonprofit organization based in New York City, uses technology to host a community-built web app for people who are homeless, communities considered vulnerable, and social service providers in New York City (NYC). Streetlives is a community-built mobile website that enables people who are homeless or in poverty to easily find, rate, and recommend social services across New York City. Adam Bard, Founder of Streetlives, explains how AWS Promotional Credits helps the organization deliver up-to-date, validated social service information to the communities of New York City.

Academic medical centers (AMCs) are under pressure to reduce costs, innovate at scale, and improve operational performance. To do this, they’re turning to the cloud. Two AWS Partner Network (APN) Public Sector Partners used the cloud to create solutions for AMCs that use large datasets to help advance medical research and analyze genomic data. Learn how these two partners are building solutions in the cloud to help AMCs further their mission.

Far above the clouds, one of the fastest growing missions for the public sector is taking place. Technological advances and open data initiatives provide new paths to explore space, impacting our lives here on Earth. From satellites to rovers, cloud computing and cloud-enabled technologies help us find answers to our biggest questions.

Amazon Web Services (AWS) launched Amazon CodeGuru (Preview), a machine learning service for automated code reviews and application performance recommendations, at AWS re:Invent 2019. The new service helps development teams find code defects or performance issues and gives recommendations to improve code quality, saving time and expense.