Tag: AWS Glue

Jacaranda Health, a Kenya-based nonprofit organization, is on a mission to end preventable maternal and newborn deaths by deploying low-cost, sustainable solutions that improve the quality of care in government health systems. Jacaranda Health, a recipient of the 2021 AWS IMAGINE Grant award, uses AWS to power a health platform that uses artificial intelligence (AI) to connect mothers with timely information about pregnancy care, as well as potentially lifesaving advice and referrals to care facilities when it matters most.

A research team led by Dr. Beatriz Martinez Lopez at UC Davis supports pig farmers with a data analytics platform that aggregates and analyzes animal health data to diagnose animal viruses and diseases. But this platform was primarily designed for analysts and data scientists. To truly transform animal disease management, Martinez-Lopez wants to put this data analytics tool into the hands of farmers around the world. So the research team is using the scalable, cost-effective tools of the AWS Cloud, along with a research grant letter of support from AWS, to make this optimized platform a reality.

Skillshare is the largest global online learning community for creativity. They offer thousands of inspiring classes for creative and curious people on topics including illustration, design, photography, video, freelancing, and more. Skillshare wanted their members to easily discover relevant content with a seamless discovery process of personalized recommendations. Skillshare decided to test Amazon Personalize from AWS to make these data-fueled recommendations for members with machine learning. This blog post describes their Amazon Personalize solution architecture, their AWS Step Functions process, and the results of their experiment.

Data is an invaluable asset in the world of nonprofits. In this blog post, we offer a technical walkthrough to learn how nonprofits of all sizes can use Amazon QuickSight to quickly create interactive dashboards with the help of machine learning, providing a self-service way to effectively consume and analyze data without writing any code or having to worry about infrastructure.

Constituents rely on state and local government leaders to create resilient transportation networks for every part of their lives. Transportation resilience requires digital technology infrastructure that is also resilient in the face of potential disaster. This is why state and local governments are turning to the cloud.

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).

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.

According to FAIR Health and the American Medical Association, telehealth use saw a nearly 3000% growth from pre-pandemic to during the pandemic. These services make virtual, real-time interactions between patient and provider possible. However, the great promise of telehealth has highlighted existing roadblocks that some face when trying to access healthcare in this country. The National Health IT Collaborative for the Underserved (NHIT) is a 501(c)3 non-profit organization on a mission to provide equitable access to health technologies and to make sure that these technologies address the needs of underserved communities and communities of color. Since its founding in 2008, NHIT has worked to advance health equity and economic viability on issues such as broadband access, electronic health records, precision medicine, consumer health applications and disaster resiliency.

Times Higher Education (THE) is a data-driven business that, with the help of AWS, is now realising the value of their data, which enables them to be better informed and make faster decisions for customers. THE provides a broad range of services to help set the agenda in higher education, and their insights help universities improve through performance analysis. THE worked with the AWS Data Lab to create a centralised repository of their data. Launching a data lake helped with providing a cost-effective platform and cataloguing data so they could understand their data and design new products to make use of it.

If you share data with other researchers, especially if they are using a different tool, you can quickly run into version issues, not knowing which file is the most current. Rather than sending data files everywhere, AWS offers a simple way to store your data in one central location so that you can read your data into SAS and still share it with other colleagues. In this blog post, I will explain how to export your data, store it in AWS, and query the data using SAS.