AWS Public Sector Blog

Tag: Artificial Intelligence

AI and ML Rapid Adoption Initiative

Launching the AI and ML Rapid Adoption Assistance Initiative for AWS Public Sector Partners

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.

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blurry photo of people passing through Fulton Street subway station in NYC

Powering scalable, fast, and secure solutions to support contact tracing

AWS is committed to helping our customers address the challenges brought about by COVID-19. In the months since the pandemic started, we have helped governments and organizations around the world accelerate efforts to track the virus, understand its outbreak, and better contain its spread. These are principles that have been reinforced by the World Health Organization (WHO). With the number of worldwide cases continuing to rise at an alarming rate, there is a global imperative to discover, test, and isolate patients in order to slow the viral spread, save lives, and fully reopen economies. To meet this public health imperative, governments are expanding their use of a well-established technique called ‘contact tracing’.

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Dystech creates first dyslexia and motor dysgraphia screening app

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.

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external shot of high school building with columns and stairs

Chesterfield County Public Schools uses machine learning to predict county’s chronic absenteeism

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.

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laptop next to a pile of paperwork and a pen

Improving customer experience for benefits eligibility and enrollment

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.

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student at laptop programming robot

Enhancing K12 learning through robotics: AWS EdStart Hot Startups

Robotics and machine learning (ML) aren’t just for the technology industry. Robotics are being used in education to advance student learning through one-to-one support, adaptive learning algorithms, and immediate feedback mechanisms within K12 schools. Robots can use ML algorithms to adapt to student learning styles, teaching children to code through interactive, fun games and supporting core curriculum in classrooms with high student to teacher ratios. These four Amazon Web Services (AWS) EdStart Members are using robotics to revolutionize K12 education.

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Academic medical research

Using artificial intelligence and machine learning to advance medical research

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.

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SENA Colombia AWS Educate graduation

Empowering the next generation of cloud talent in Colombia with SENA and AWS Educate

At the end of 2019, el Servicio Nacional del Aprendiza (SENA) in Colombia graduated 160 students after completing AWS Educate Cloud Career Pathways to build their IT and cloud technology skills. This was the first group of students to graduate after Colombia’s President Iván Duque Márquez and Jeff Kratz, General Manager AWS Public Sector Latin America, Caribbean and Canada, announced a strategic partnership with SENA to train 10,000 students throughout Colombia in IT and cloud technology.

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Amazon CodeGuru

Lower AWS expenses with Amazon CodeGuru runtime optimizations

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.

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