AWS Public Sector Blog

Category: Amazon Machine Learning

Transporting people and freight more efficiently with cloud-based technologies

Freight transportation companies and logistics service providers are being challenged by spikes in e-commerce volume. The need for real-time, dynamic re-adjustment of global supply chains has shortened planning cycles from weeks to hours, and requires faster IT workloads, quicker access to data, increased ability to innovate, and more. Amazon Web Services (AWS) and cloud technologies can help by bringing cost-effectiveness, scalability, elasticity, and agility to freight and people transportation systems.

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Register to experience the AWS Summit Online – Americas on August 24-26, 2021

The AWS Summit Online – Americas brings the cloud community together from across the Americas to hear keynotes from industry leaders, dive deep into educational sessions, engage in workshops, and chat with AWS experts. Whether you are just getting started on the cloud or are an advanced cloud user, come and learn something new at the AWS Summit Online – Americas.

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Cleerly uses AI-driven heart imaging technology to help save lives with AWS

Cleerly is a digital health company innovating a new standard for coronary artery disease by going beyond the traditional methods of diagnosing heart disease. Using artificial intelligence and the AWS Cloud, Cleerly turns non-invasive, comprehensive quantification and characterization of atherosclerosis (plaque) building in arteries into actionable insights for clinicians before major heart attack symptoms emerge.

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Wellforce announces migration of the health system’s digital healthcare ecosystem to AWS

By taking the lead in digital healthcare transformation, Wellforce is estimated to save as much as 20 percent annually (approximately $3 million USD) through the modernization of the healthcare IT ecosystem using the cloud. This innovative approach serves as one of the first examples that healthcare systems across the nation, and world, can replicate.

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Rush Medical analytics hub

Rush University Medical Center creates COVID-19 analytics hub on AWS

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.

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EdTech brings learning alive to narrow the attainment gap; photo of Oxford University

New human-machine collaborations unlock society’s big challenges

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.

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2020 changing to 2021

5 things we’ve learned this year in the cloud for the public sector

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.

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The COVID-19 infodemic: How Novetta uses machine learning to analyze unproven narratives on social media

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.

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football on field; Photo by Dave Adamson on Unsplash

Using a data-driven approach and machine learning to coach at the collegiate level

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.

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AWSPS_2020 AI ML Week

AWS Artificial Intelligence and Machine Learning Week is back – Register now

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.

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