Tag: Amazon EBS

In 2022, Emory launched the AI.Humanity initiative to explore the societal impacts of artificial intelligence (AI) and influence its future development to serve humanity. Emory aims to be a leading advocate for ethical use of AI and a top destination for students and faculty seeking to understand and apply its transformative technologies. Read this blog post to learn how Emory uses Amazon Web Services (AWS) to support the computing needs of AI.Humanity.

LearnHaem, a nonprofit online educational resource based in Singapore, grew out of a need to make haematology content accessible and inclusive to medical professionals and students around the world. The LearnHaem website, built on AWS, provides one of the largest and most comprehensive collections of no-cost digitized images of microscopy slides and haematology educational content available in Asia Pacific, focusing on blood and blood-related disorders.

Education technology (EdTech) startups around the world use cloud technology to help facilitate beneficial community connections and make education more collaborative and engaging. Some of these EdTechs get started with the AWS EdStart program, a startup accelerator designed to help EdTech entrepreneurs build the next generation of online learning, analytics, campus management, and more on the AWS Cloud. Discover how four AWS EdStart Members use AWS to create more connected and engaging educational experiences for learners around the world.

Tessitura Network, a member-owned nonprofit company, provides customer relationship management (CRM) technologies and services to performing arts, cultural, and entertainment organizations around the world. Tessitura integrates what used to be disparate components of running an arts and culture organization, and supports organizations to gain a full picture of their customers and patrons, to segment and analyze data for insights, and to build personalized engagements with donors and communities they serve—all using the cloud and Amazon Web Services (AWS).

Terabytes of Earth Observation (EO) data are collected each day, quickly leading to petabyte-scale datasets. By bringing these datasets to the cloud, users can use the compute and analytics resources of the cloud to reliably scale with growing needs. In this post, we show you how to set up a Pangeo solution with Kubernetes, Dask, and Jupyter notebooks step-by-step on Amazon Web Services (AWS), to automatically scale cloud compute resources and parallelize workloads across multiple Dask worker nodes.

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.

Learn how you can build a foundation of security objectives practices, including a business continuity and disaster recovery plan, that can be adapted to meet a dynamic policy environment and support the missions of national computer security incident response teams (CSIRT), operators of essential services (OES), digital service providers (DSP), and other identified sector organizations.

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).

I recently had the opportunity to record the keynote for this year’s AWS Public Sector Summit Online. This year’s keynote theme is “Inspiration Everywhere,” and I can’t wait to share a number of inspiring stories and examples from our customers with you when the keynote airs on April 15. What unites all of the stories is a commitment to achieving mission outcomes with AWS and cloud computing. And while we’ll spend some time talking about the technology, I’ll also share with you the organizational changes that mission owners can drive, today, to move fast, be responsive, and maximize the impact of limited resources.

In the spring of 2019, environmental modelers at the Lake Michigan Air Directors Consortium (LADCO) had a new problem to solve. Emerging research on air pollution along the shores of the Great Lakes in the United States showed that to properly simulate the pollution episodes in the region we needed to apply our models at a finer spatial granularity than the computational capacity of our in-house HPC cluster could handle. The LADCO modelers turned to AWS ParallelCluster to access the HPC resources needed to do this modeling faster and scale for our member states.