AWS Public Sector Blog

Tag: Machine Learning

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.

bootprint in sand; photo by Bernard Hermant via Unsplash

Enabling warfighters and intelligence mission success

In a world where data is produced and handled at unprecedented speeds and quantities, the need for effective methods to securely store, analyze, and interpret this data is more important now than ever. As agencies within the U.S. Department of Defense and Intelligence Community turn to cloud adoption, they are able to bring new capabilities closer to the tactical edge and accelerate their digital transformation. Agencies can effectively leverage these new technologies such as AI, ML, and data analytics to free up time and resources for warfighters and analysts to focus on mission critical tasks.

american flag in grass

In celebration of Veterans Day

Thank you to all active and retired military members for your service. At Amazon Web Services (AWS), we are honored to work together with our nation’s Veterans—from helping transitioning Veterans begin their pathway in the cloud to hiring military spouses to supporting military families. In celebration of this year’s Veterans Day, check out some of our new resources and additional programs dedicated to serving this community.

AI for good

Solving some of the world’s most difficult problems with AWS and AI for Good

This year, AWS is a gold sponsor of AI for Good, the action-oriented technology-education platform hosted by the United Nations (UN). The organization is delivering a webinar series to provide best practices around how to adopt AI and ML technologies. With less than 10 years remaining to achieve the 17 United Nations’ Sustainable Development Goals (SDGs) by 2030, organizations all over the world are using AWS services to deliver various AI and ML-enabled solutions—from delivering disaster-relief services at the edge to reconnecting telecommunications after a hurricane. We are also helping organizations adopt AI and ML technologies more readily in the areas of computer vision, automatic speech recognition, and natural language process to solve ongoing global challenges.

The Brief - Business Resiliency

Building business resiliency, upskilling, and ML in sports: What you missed last month on the AWS Public Sector Blog

Last month, the AWS Public Sector Blog covered building business resiliency, upskilling the next generation of cloud talent, machine learning in college sports, and more. Check out the latest episode of The Brief to learn more about business resiliency, and check out the other top stories linked below.

palm tree night sky

Understanding disaster recovery as a service (DRaaS): How FSU achieved a modern solution for an inevitable threat

In October 2018, the Florida panhandle was hit by Hurricane Michael, a Category 5 storm that set a new record for the strongest hurricane on record to make landfall in the area. Florida State University (FSU) already understood the need for a long-term continuity of operations plan, and the devastation Michael wrought on the surrounding areas solidified how critical a disaster recovery (DR) service is to their overall operations. Disaster-recovery-as-a-service (DRaaS) is the business world’s advanced solution to unexpected disruption. Whether the threat comes from natural disaster, technical failure, human error, or malicious action, the result is still unplanned downtime and the need for recovery. Learn how FSU designed and launched their DRaaS solution on an accelerated timeline while optimizing costs.

Healthcare tech

Putting patients at the center of care: Innovative health tech

Innovative healthcare technology puts patients at the center of care. Solutions that let patients stay in control of their care are transforming and defining modern healthcare. Let’s look at three health technology organizations who have built patient-centric, cloud solutions on Amazon Web Services (AWS), paving a new way for healthcare to be delivered.

tube train speeding past in a blur at station at night

Mission: Delivering at speed

From speeding the time to science to accelerating the delivery of critical citizen services, our customers are migrating to the AWS Cloud to successfully deliver on their missions. Our current environment has pushed us all into new ways of learning, working, and even socializing. And the cloud has made these recent changes and innovations possible. These customer examples can offer a playbook and inspiration for how organizations can leverage the cloud to innovate quickly and deliver on behalf of citizens.

cloud horizon

Building cloud-based community knowledge about machine learning to predict and understand extreme weather

The National Center for Atmospheric Research (NCAR) is a federally funded research and development center sponsored by the National Science Foundation. It engages in large-scale Earth system science research projects in collaboration with the broader university community. NCAR hosts visitors from around the world, develops community models including the Community Earth System Model and the Weather Research and Forecasting Model, and maintains supercomputers, observational systems, and aircraft to support further study on the how the planet works. As part of the Amazon Sustainability Data Initiative, we invited Dr. David John Gagne, machine learning (ML) scientist at NCAR, to share how open data and machine learning on AWS are impacting the way we predict and understand extreme weather.

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.