Category: Customer Solutions

This is a guest post by Maria Teleńczuk, research engineer at the Paris-Saclay Center for Data Science (CDS), and Alexandre Gramfort, senior research scientist at INRIA, the French National Institute for Research in Digital Science and Technology. Maria and Alexandre explain how they adapted their open source data challenge platform RAMP to train the models submitted by student challenge participants using Amazon Elastic Compute Cloud (Amazon EC2) Spot instances, and how they leveraged AWS to support three student challenges.

Cloud Innovation Centers (CICs) powered by Amazon Web Services (AWS) aim to empower public sector organizations to quickly create and test new ideas using Amazon’s innovation methodology. With the CIC program, students and researchers, along with AWS teams, focus on solving real-life societal challenges facing the public sector. Learn more about some of the digital solutions on challenges the CIC team published over the last quarter such as working to prevent opioid overdose, discovering new coronaviruses, and using machine learning to monitor beehive health.

In state and local government transportation, infrastructure owners like departments of transportation, traffic agencies, tolling authorities, public transit agencies, airports, and seaports, all strive to operate more efficiently. They’re working to deliver safe, dependable, and equitable transportation experiences to citizens, regardless of how, when, or where they travel. Forward thinking public agencies are turning to a new breed of solutions provider—one not tied to a legacy framework that cannot address current traveler needs. They work with system integrators, independent software vendors, and consultants to innovate using AWS to improve traffic safety, construction project management, analytics and reporting, and secure identification.

AWS recently participated in a technical demonstration, known as “On-Ramp 4,” to test edge computing capabilities for the Air Force’s Advanced Battle Management System (ABMS). ABMS is the Air Force’s contribution to the DoD’s Joint All Domain Command and Control (JADC2) vision. Under a Cooperative Research and Development Agreement (CRADA) with ABMS, AWS tested the ability to successfully integrate and deploy a tactical edge node solution leveraging highly resilient network connectivity and communications.

Children become aware of traditional careers at a young age. But the careers in modern science, technology, engineering, arts, and mathematics (STEAM) that are likely to be among the most in-demand when the children enter the workforce aren’t traditionally introduced to younger students. Many cloud occupations are absent in the aspirational pathways commonly discussed in STEAM education. Aspiring tech students are not aware of the full breadth of cloud jobs that exist, and are often pushed a narrow view limited to coding, video game production, and software development. To address these gaps, Amazon Web Services (AWS) and Flight Works Alabama (an Airbus Americas 501c3) created the program We Build It Better.

The maturing of artificial intelligence (AI) has brought ready-made services that organizations can use, not only to automate data entry work but also to apply intelligence into the business process. Using modern AI capabilities on AWS, organizations can transform approaches to document management. This allows public sector organizations to save time (enabling faster throughput especially during higher volume paperwork times), so they can help get constituents their services faster, and focus on the most valuable work of the high-touch or high-need cases. Document automation helps reduce human entry error and provide backup services in case of natural disaster.

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.

Even before the pandemic, many people were rent burdened, with a quarter of renters paying more than half their income on rent. US Congress approved two bills containing $45 billion for emergency rental assistance programs (ERAP) that states and local governments can use to support people in need. Distributing these funds quickly and efficiently requires local agencies to rapidly design and deploy new engagement models, programs, and workflows that are easy to use, that can quickly scale up to meet demand, and are flexible enough to adjust to changes in federal and local requirements. Learn how these AWS customers and partners are leveraging the cloud to quickly launch and distribute benefit assistance programs like emergency rental assistance.

Alzheimer’s, a progressive brain disease that gradually deteriorates memories and thinking skills, is one of the leading causes of death in the United States, according to nonprofit UsAgainstAlzheimer’s (UsA2). To help address the immense need for brain health information and insights, UsA2 recently launched BrainGuide working with AWS and Biogen. BrainGuide is a first-of-its-kind platform that empowers people with knowledge and resources to take the best next steps in managing their own or a loved one’s brain health.

What if we were to democratize access to data and compute so that anyone, anywhere in the world could contribute to climate science? The Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to acquire and analyze large sustainability datasets. ASDI supports innovators and researchers with the data, tools, and technical expertise they need to advance sustainability initiatives. ASDI is committed to making climate-relevant data easier to access and analyze. ASDI’s growing data catalog comprises petabytes of open data.