Tag: Artificial Intelligence

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.

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.

State and local governments (SLGs) are constantly looking for ways to improve the lives and well-being of their constituents. They strive for increased efficiencies in delivering existing government services or potential new services such as those related to assistance with food, health, education, affordable housing, weatherization, and more. Enterprise resource planning (ERP) solutions, along with ancillary business systems that support performance-based budgeting, play a key role in providing data insights. The balancing act between tight budgets and enablement of government services is enabled by fiscal health, sound policies, and data insights. ERP systems deployed on the cloud can help with the capabilities and technology tools that governments need to derive efficiencies with existing services and deploy new services.

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.

Nonprofits have found themselves thrust into a digital-first landscape, with an increasing demand for virtual or remote services for beneficiaries, donors, volunteers, and staff. During the COVID-19 pandemic, nonprofit organizations put forth tremendous effort to fill gaps unmet by the government and private sectors for our communities. Nonprofits have shown agility in their pivot to online events, remote service delivery, sharing of data and research, and more. To help nonprofits access the best-in-class tools provided by AWS, today we are launching the 2021 AWS Imagine Grant program. Guidelines and instructions on how to apply for this year’s cycle are available today.

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.

The Urban Analytics Lab at the National University of Singapore (NUS) spearheads research in geospatial data analysis and 3D city modelling. The lab’s work underpins the development of smart cities and provides scientists, architects, urban planners, and real estate developers with data insights. These insights help parties make informed decisions about projects ranging from energy modelling to urban farming. To meet rising global demand for its data analytics and planning tools, Urban Analytics Lab turned to Amazon Web Services (AWS).