Category: Artificial Intelligence

In 2021, one in six Australians—almost four million people—have hearing loss, ranging from mild to profound. The statistic is part of the larger global picture reported by the World Health Organization (WHO) that approximately 466 million people live with hearing loss; of these, 34 million are children. In addition, 1.1 billion young people are at risk of hearing loss due to exposure to noise in recreational settings and through personal audio devices. AWS offers services that will help organizations build end-to-end solutions with accessibility in mind and improve day-to-day activities such as social interactions, clinical consultations, live media, and public service announcements.

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.

Nonprofits can leverage the cloud to reduce the burden associated with their fundraising activities. With machine learning (ML), nonprofits can identify individuals who are more likely to engage and donate to their cause to support their mission. Read more to learn exactly how you can put these solutions into action and leverage ML to help your nonprofit with fundraising efforts. In this post, discover how to use Amazon Personalize to build a ML model that supports a wide-range of personalization experiences—without prior machine learning experience.

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.

To help protect investments on ML, government organizations can securely store ML source code. Storing Amazon SageMaker Studio code in an AWS CodeCommit repository enables you to keep them as standalone documents to reuse in the future. SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare data and build, train, and deploy models. Read on to learn the steps to configure a git-based repository on CodeCommit to manage ML code developed with SageMaker.

In 2020, education transformed like never before. Educational institutions needed to be able to provide students, teachers, and staff with immediate access to education and AWS helped customers and partners modernize their systems and applications and reach learners remotely, quickly, and at scale. In 2021, innovation continues in the world of teaching, learning, and research—as well as the use of technology to automate processes and drive better student outcomes.

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.

As populations continue to grow, government departments around the world are exploring new ways to scale their delivery of client services. The Public Services Health & Safety Association (PSHSA), a transfer payment agency of the Ontario government’s Ministry of Labour Training and Skills Development, turned to an artificial intelligence (AI)-powered chatbot to better serve customers by addressing their occupational health and safety training and consulting questions.

The humanities—including performing and visual arts—help us understand and interpret the world around us. With the recent pandemic, cultural institutions are challenged as attendance is slowing, funding is diminishing, and programs are being shut down. These cultural institutions must adapt to meet the challenges of this new world. Amazon and AWS have tools to help museums, performing arts centers, and other cultural organizations extend their sphere of influence and increase their engagement with patrons, to remain relevant and better engage audiences in a digital world.