Tag: customer story

The University of Minnesota Athletics Department had access to a lot of data, but lacked a way to bring it together. Even answering simple questions, like how many tickets were sold and who received them, required hours of cross-platform data wrangling. In less than a year, the department replaced that complexity with a scalable data lake built on AWS. The new data architecture—which gives the department full visibility into ticketing transactions and digital behavior—was built by a small internal team, without requiring a complete overhaul of their existing systems.

With over a decade of experience supporting more than 2,000 school districts across North America, Panorama Education had already built powerful tools for integrating academic, attendance, behavior, and life skills into one unified view of student progress. To unlock the value of that data securely, Panorama built Solara, a generative AI platform built on AWS. Solara is designed to help educators make sense of student data faster, design personalized student improvement plans, and reduce administrative burden while maintaining trust and data privacy at scale.

To help researchers reclaim their time and focus on discovery, Indiana University developed a secure, scalable, and cost-effective Automated Transcription Service (ATS) built on AWS. Since launching, the service has supported nearly 60 projects across 16 departments and has become a model for how universities can use cloud-native tools to affordably streamline research workflows and protect sensitive data.

Learning Upgrade worked with AWS to modernize its platform and ultimately migrated fully to the cloud. This strategic shift empowered Learning Upgrade to scale globally, respond faster to new opportunities, and better serve learners in dynamic, resource-constrained environments. Read this post to learn more.

HippocrAItes, Finland-based healthcare data & AI innovation company built the Hippo Health Platform on Amazon Web Services (AWS), combining secure, scalable cloud infrastructure with a user-centric approach to health data. The platform unifies data from national repositories and personal devices into a single, secure health account. Read this post to learn more.

In this blog, we discuss how government agencies can evaluate and implement AWS alternatives to traditional Oracle Real Application Clusters (RAC) deployments while maintaining mission-critical availability.

Read this post to learn how Change.org built a next-generation recommender on AWS that turned more awareness into action—boosting petition signatures by 30 percent.

AWS Professional Services has partnered with the National Environmental Satellite, Data, and Information Service (NESDIS), part of the National Oceanic and Atmospheric Administration (NOAA), alongside GAMA-1 Technologies to broaden the scope and capabilities of the NESDIS Common Cloud Framework (NCCF). This work supports NOAA’s ability to ingest, manage, process, and disseminate critical environmental data. Read this post to learn more.

Mid-Hudson Valley Federal Credit Union (MHVFCU) needed to automate their tools and develop advanced forecasting capabilities to make informed decisions for deposit management and growth to maximize benefit for their members. For this purpose, MHVFCU leadership sought a solution that would not only save time in data preparation and analysis but also provide accurate forecasts for balances across four key deposit products: savings, checking, certificate deposits (CDs), and money market. Read this post to learn about the solution they built with AWS.

The Greenwood Genetic Center (GGC) is a nonprofit institute organized to provide clinical genetic services, diagnostic laboratory testing, educational programs and resources, and research in the field of medical genetics. To make its medical records accessible to providers, the GGC created a data warehouse to serve as a single repository for its data, where clinicians have access to an all-encompassing view of patients’ records. Read this post to learn more.