Category: Amazon Machine Learning

Rush University Medical Center embraced cloud transformation for internal operations and organizational needs as well as in response to the COVID-19 pandemic. The Rush analytics team worked with the city of Chicago department of public health to create a working reference implementation of a cloud-based public health analytics hub. This hub aggregates, combines, and analyzes multi-hospital data related to patient admissions, discharges and transfers, electronic lab reporting, hospital capacity, and clinical care documents of COVID-19 patients receiving care in and across Chicago hospitals.

Research exploring how humans work with machines to solve problems in fields ranging from space to sustainability has established the potential to create far-reaching change in children’s education. The test-bed project is part of a wider program set up by Oxford University with support from AWS. Researchers have been as surprised by how quickly they have reached results as they are pleased with the outcomes. One of the test-beds, the Oxford X-Reality Hub Ed Tech project, set out to investigate how virtual reality (VR) could transform the classroom experience and close the gap between disadvantaged groups of pupils who statistically do less well than their peers.

This year, global health and economy challenged government, education, nonprofit, and health organizations to rethink operations. With a focus on their mission, organizations quickly shifted to better and more quickly serve their constituents, students, and customers. Many took advantage of ways to innovate and consider adopting the cloud. AWS looked for ways to help these organizations, educating them on the power of the cloud—no matter where they were on their cloud journey—as well as sharing inspiring stories from their peers. Here’s what we learned.

The COVID-19 pandemic is driving a parallel “infodemic”: the rapid spread of competing and often harmful narratives about the virus. Social media plays a central role in this infodemic, serving as a forum for the spread and evolution of theories and beliefs with origins in broadcast, print, online news, blogs, and other digital arenas. As the COVID-19 infodemic grew, Novetta used AWS to create Rapid Narrative Analysis (RNA), a solution that achieves accuracy by using human expertise at critical stages of analysis while using machine learning (ML) models to rapidly diagnose the severity of the spread of key narratives at a speed needed to take effective action.

The University of Illinois Urbana-Champaign (UIUC) believes that technology is a powerful tool for driving results and innovation on campus. Their chief information officer, Mark Henderson, developed a task force—called the Data and Technology Innovation Lab—to identify department challenges and task individuals to build innovative solutions using technology. One area where UIUC identified an opportunity was sports analytics using machine learning (ML). Learn more about how UIUC was inspired by what they were seeing in professional sports, using data to shift their approach to coaching football.

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.

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.

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.

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.