Tag: Amazon S3

In 2019, Grand River Hospital turned to AWS to build the first AWS healthcare data lake in Canada. The data lake was built to house the hospital’s sensitive patient and administrative data while retiring its legacy hospital information systems, comprised of electronic patient record and other administrative systems. Grand River Hospital in Ontario, Canada is a 580-bed community hospital with a yearly operating budget of around $400 million CAD serving a community of 600,000-650,000 people.

The winners of the annual AWS City on a Cloud Innovation Challenge were announced today at re:Invent 2019. The annual competition recognizes applicants going above and beyond to innovate for and with their constituents, using the cloud to improve lives. Congratulations to the 18 winners!

The botany department at the University of British Columbia (UBC) and the UBC Data Science Institute are working together to research the evolution and genetic makeup of sunflowers – a critical crop in addressing global food security.

Oklahoma State University in Oklahoma City (OSU-OKC), a two-year, technical-focused college, has historically faced challenges with consistent reporting, database management, and analytics. Technology generalists hired to do these tasks required extensive training to successfully extract data from traditional student information systems, manipulate data for state and federal compliance reporting, and generate limited campus reporting for operational or academic program review and analysis.

Four Twenty Seven builds tools and services that help bring climate data (sourced from government agencies and academic institutions) to public and private organizations so they can better understand their exposure to climate hazards and manage risk in their communities. Four Twenty Seven’s new on-demand scoring application allows users to enter an asset’s location and receive risk scores for each site in real-time.

In collaboration with Amazon Web Services (AWS) and NVIDIA, Arizona State University (ASU) hosted its first-ever robotics hackathon. At the Arizona Robo Hackathon, 64 undergraduate and graduate students across seven institutions came together to compete in an Arizona statewide competition hosted on AWS. By the end of the hackathon, students successfully applied their knowledge of computer science, engineering, and programming skills in robotics and artificial intelligence (AI) application development.

As part of the Amazon Sustainability Data Initiative, Amazon Web Services (AWS) is supporting Digital Earth Africa (DE Africa). DE Africa is enabling African nations to track changes across the continent in unprecedented detail by making Earth observation (EO) data more easily accessible. This will provide valuable insights for better decision-making around prevention and planning in areas including flooding, droughts, soil and coastal erosion, agriculture, forest-cover, land use and land cover change, water availability and quality, and changes to human settlements.

Cryo-electron microscopy (cryo-EM) — the technology that won the 2017 Nobel Prize in Chemistry — lets scientists peer into the molecular “machines” at work in our cells in ways that were previously impossible. Using advanced microscopes, cryo-EM captures images of proteins flash-frozen in vitreous ice, revealing their 3D structure in near-native states. Even as access to this technology improves, many researchers are still limited by computing bottlenecks. The cryo-EM field needs to provide more hands-on training in how to process such large datasets. Amazon Web Services (AWS) allows us to provide training, broadening the impact of this important structural biology technology.

Education, nonprofit, and government customers often find themselves moving Microsoft workloads to Amazon Web Services (AWS) for cost savings, but then also reaped performance improvements. AWS can seamlessly support thousands of applications, systems, and solutions – including Microsoft workloads – without disrupting service during migration. Read stories of how AWS global customers used AWS for Microsoft workloads.

Sharing data publicly helps accelerate innovation by increasing the number of people who can perform research and derive insights from it. When data is shared in the cloud, researchers are able to work with data without needing to download or store their own copies. This allows users to start analyzing massive amounts of data in minutes, regardless of their location, local storage space availability, or computing capacity. Through the AWS Public Dataset Program, we collaborate with AWS customers to explore the best ways to stage data for analysis in the cloud.