Tag: Machine Learning

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.

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.

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.

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.

Ecree, an AWS EdStart Member, was founded by educators who believed the way we teach students to write is broken. The volume of work a teacher is being asked to do means students don’t always get the necessary attention and feedback required to develop their writing skills. Ecree’s founding team set out to support teachers and students by creating the world’s first rules-based tool that assesses student writing in the same way a highly trained professor does, on-demand. The solution uses cloud technologies including machine learning (ML), artificial intelligence (AI), and voice technology to help improve student writing.

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.

Cancer Commons is a nonprofit network of patients, physicians, and scientists dedicated to helping patients identify and access the best personalized treatment options. Erika Vial Monteverdi, executive director of Cancer Commons, describes how the AWS compute infrastructure, combined with services like Amazon Comprehend Medical, enable physicians and patients to leverage the collective knowledge of the world’s top institutions. 

Research computing has come a long way from the mainframes of the 1960s. At the recent Practice and Experience in Advanced Research Computing (PEARC) conference, I noted four emerging themes that underscore how the field continues to evolve.

The COVID-19 pandemic magnified the health and financial strain in communities across the country. Before the pandemic hit, Wildfire, a state association for Community Action Agencies, was working with Prefix, an AWS Partner Network Technology Partner, to develop a cloud-based solution for utility and rental assistance. When the City of Phoenix requested they support the distribution of $20 million CARES Act funds, they shifted their resources and existing infrastructure and, in a matter of weeks, stood up a repeatable public-facing solution.