Category: Artificial Intelligence

Artificial intelligence (AI) solutions are helping solve some of the biggest short- and long-term challenges within the public sector. But how can you quickly identify new AI-powered opportunities and use cases to solve unique and specific challenges within your organization? AWS AI and ML Week, taking place from September 14-18, includes seven curated webinars from introductory to expert level. Whether you’re new to AI or an experienced machine learning developer, attend our webinars and dive into some of the most common AI use cases for the public sector from this year.

Ecree, an AWS EdStart Member, was founded by educators who believed the way we teach students to write is broken. The volume of work a teacher is being asked to do means students don’t always get the necessary attention and feedback required to develop their writing skills. Ecree’s founding team set out to support teachers and students by creating the world’s first rules-based tool that assesses student writing in the same way a highly trained professor does, on-demand. The solution uses cloud technologies including machine learning (ML), artificial intelligence (AI), and voice technology to help improve student writing.

Artificial intelligence (AI) and related technologies including machine learning (ML) and deep learning (DL) can transform the way government agencies operate and enable them to provide improved citizen services. AWS Partner Network Partners have been working with AWS to accelerate solutions development using AI and related technologies for our public sector customers. To further assist partners in the acceleration of AI and ML, AWS is launching a new partner initiative: the AI and ML Rapid Adoption Assistance Initiative.

Cancer Commons is a nonprofit network of patients, physicians, and scientists dedicated to helping patients identify and access the best personalized treatment options. Erika Vial Monteverdi, executive director of Cancer Commons, describes how the AWS compute infrastructure, combined with services like Amazon Comprehend Medical, enable physicians and patients to leverage the collective knowledge of the world’s top institutions. 

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.