Tag: Machine Learning

Discovery Education (DE) provides standards-aligned digital curriculum resources, engaging content, and professional learning for K12 classrooms. Learn how they worked with AWS to enhance its K12 learning platform with machine learning (ML) capabilities.

For more than 150 years, Children’s National Hospital has worked to bring health and well-being to children around the world. Today, it is among the nation’s top 10 children’s hospitals and is transforming pediatric medicine for all children. Recently, the hospital opened the Children’s National Research & Innovation Campus (CNRIC). Amazon Web Services (AWS) is pleased to help launch this one-of-a-kind hub for pediatric medical discovery, innovation, and care.

In my keynote at the Amazon Web Services (AWS) Public Sector Partners Forum, I spoke about, “celebrating, listening, and acting on your input”—highlighting our customer obsessed approach to AWS Partners and customers. I shared many exciting stories from our AWS Public Sector Partners as well as some of the great programs we’ve rolled out to help accelerate missions, migrations, and modernization. Check out the stories and announcements you might have missed.

The Allen Institute seeks to understand how our brains, cells, and immune systems work when we are healthy and, ultimately, how they go wrong in disease. Allen researchers have generated and shared atlases that map the brain, gene-edited stem cell lines, and many more resources that have been used by millions of scientists around the world to accelerate their research. In collaboration with AWS and the Registry of Open Data on AWS, they make many of their datasets publicly available. In celebration of Open Science Week, check out some of these open datasets from the Allen Institute, and their impact on the research community.

Freight transportation companies and logistics service providers are being challenged by spikes in e-commerce volume. The need for real-time, dynamic re-adjustment of global supply chains has shortened planning cycles from weeks to hours, and requires faster IT workloads, quicker access to data, increased ability to innovate, and more. Amazon Web Services (AWS) and cloud technologies can help by bringing cost-effectiveness, scalability, elasticity, and agility to freight and people transportation systems.

It’s time consuming for public sector organizations to sort through packed voicemail inboxes, figure out how to respond, return calls, and take detailed records on each call. So AWS developed a scalable call center solution that allows organizations to streamline the entire call process – from call intake, to generating actionable insights for response with artificial intelligence, to detailed recordkeeping and storage. This blog post guides you through how to create this task-generating cloud call center solution with Amazon Connect.

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.

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.