Category: Artificial Intelligence

The AWS Summit Online – Americas brings the cloud community together from across the Americas to hear keynotes from industry leaders, dive deep into educational sessions, engage in workshops, and chat with AWS experts. Whether you are just getting started on the cloud or are an advanced cloud user, come and learn something new at the AWS Summit Online – Americas.

Cleerly is a digital health company innovating a new standard for coronary artery disease by going beyond the traditional methods of diagnosing heart disease. Using artificial intelligence and the AWS Cloud, Cleerly turns non-invasive, comprehensive quantification and characterization of atherosclerosis (plaque) building in arteries into actionable insights for clinicians before major heart attack symptoms emerge.

Our global network of Cloud Innovation Centers (CICs) powered by AWS and in collaboration with our CIC sponsors, who host and run the centers, aim to empower public sector organizations to quickly create and test new ideas using Amazon’s innovation methodology and cloud technology. Check out some stories of digital prototypes the CICs have published over the last few months that focus on improving public safety, adapting to the pandemic, and innovating through voice and video technology.

Information technology and cloud services can be enablers for modernization of these business processes and tax systems, and improved constituent experience. For public administrators, these tools can also shorten the window between the enactment of a new law and its timely and successful implementation. Here’s how governments are addressing some major challenges using the AWS Cloud.

During the COVID-19 pandemic, educational institutions that operated on in-person model shifted many of their traditionally in-person operations and activities—including grading, assessments and testing, and admissions—to a virtual format, where many had never been before. Educational technology (EdTech) companies around the world used the cloud to help quickly create and scale to meet the needs of these academic institutions while maintaining a consistent and smooth student experience.

By taking the lead in digital healthcare transformation, Wellforce is estimated to save as much as 20 percent annually (approximately $3 million USD) through the modernization of the healthcare IT ecosystem using the cloud. This innovative approach serves as one of the first examples that healthcare systems across the nation, and world, can replicate.

A constituent engagement system helps governments communicate, listen, and respond to informational, service, and transactional requests from their communities. Governments across the US are embracing the cloud to optimize constituent engagement systems and improve the experience, reduce and eliminate friction for both enterprise employees and their customers, and manage first contact burdens on staffed, centralized intake points to liberate resources for higher priority initiatives.

Predictive maintenance solutions involve using artificial intelligence (AI) algorithms and data analytics tools to monitor operations, detect anomalies, and predict possible defects or breakdowns in equipment before they happen. To help keep aircraft mission ready, the Air Force turned to PavCon, LLC, (PavCon), a woman-owned small business, to create an actionable predictive maintenance solution powered by Amazon Web Services (AWS).

Using AWS, Edunation seamlessly responded to increasing demand during the COVID-19 pandemic. Edunation collaborates with top educational institutions across the Middle East and North Africa (MENA) region and provides all-in-one learning and school management solutions. Today, the EdTech is on a mission to push learning management systems (LMS) beyond virtual classrooms.

About 40 million MRI scans are performed in the United States every year. MRIs are a valuable part of diagnostic plans, but as they exist today, they may not always be a part of a patient’s care plan. A research team at the New York University (NYU) Langone Center set out to make MRIs more accessible for more patients by using artificial intelligence (AI), machine learning (ML), and the power of cooperative open data sharing.