Category: Customer Solutions

As AI and ML becomes more ubiquitous and simple to use, EdTech companies and startups around the world are unlocking the benefits of these technologies, particularly when it comes to personalizing learning content for a learner or educator’s specific needs. Learn how EdTech startups and AWS EdStart Members are using AI and ML to help revolutionize the education industry. 

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.

As part of the Amazon Sustainability Data Initiative (ASDI), AWS invited Nils Helset, co-founder and chief executive officer (CEO) of DigiFarm, to share how AWS Cloud technology and open data support DigiFarm’s efforts in precision farming to make agricultural practices more sustainable and efficient.

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.

The extensive higher education landscape in India poses many challenges, like the rising complexity of administrative and academic activities, increase in student enrollment from a tech-savvy generation, data security issues, and more. The education technology (EdTech) company CollPoll is a full-stack web- and mobile-based campus automation, digital learning, and analytics platform designed to address these challenges with artificial intelligence powered by Amazon Web Services (AWS). CollPoll uses the cloud to provide end-to-end automation of key academic and administrative processes to bring digital transformation solutions to educational institutions in India and around the world.

The United Kingdom (UK) government’s 2011 Skills for Life survey estimated that about 49% of UK adults had levels of numeracy—the ability to understand and use math in real-life situations—on par with primary school children. In response, National Numeracy, a nonprofit to help UK adults increase numeracy, was founded in 2012. Leveraging AWS, National Numeracy established a digital-first approach to engage UK communities with educational resources that help improve real-world math skills that can help them better manage their finances, find new job opportunities, assist their children in math, and more.

How do we avoid the next global pandemic? For researchers collaborating with the University of British Columbia Cloud Innovation Center (UBC CIC), the answer to that question lies in a massive library of genetic sequencing data. But there is a problem: the data library is so massive that traditional computing can’t comprehensively analyze or process it. So the UBC CIC team collaborated with computational virologists to create Serratus, an open-science viral discovery platform to transform the field of genomics—built on the massive computational power of the Amazon Web Services (AWS) Cloud.

It takes a medical village to discover and diagnose rare diseases. The National Institutes of Health’s Undiagnosed Diseases Network (UDN) is made up of a coordinating center, 12 clinical sites, a model organism screening center, a metabolomics core, a sequencing core, and a biorepository. For many years prior to the UDN, the experts at these sites were limited by antiquated data-sharing procedures. The UDN leadership realized that if they wanted to scale up and serve as many patients as possible, they needed to transform how they process, store, and share medical data—which led the UDN to the AWS Cloud.

The Delhi Academy of Medical Sciences Pvt Ltd (DAMS) is the leading institute for National Eligibility and Entrance Test postgraduate (NEET PG) preparation for doctors in India. During the pandemic, DAMS shifted its course delivery to its eMedicoz app, an education technology (EdTech) initiative powered by AWS that has reached more than 500,000 verified doctors and medical student subscribers. To keep students connected with real-time learning, DAMS used AWS to deliver live-streamed and two-way interactive classes for thousands of budding doctors through the eMedicoz app.

In this blog post, the Georgia Department of Community Health (DCH) chief information officer, Venu Gurram, describes his experience transforming their Medicaid Management Information System (MMIS) from legacy on-premises infrastructure to a collection of services in the cloud. Learn how the DCH joined forces with another state entity, the Georgia Tech Research Institute (GTRI), to use the Amazon Web Services (AWS) Cloud to deliver the next generation of Medicaid technology: a Medicaid Enterprise System (MES).