AWS Public Sector Blog
Category: Amazon Neptune
Designing an educational big data analysis architecture with AWS
In this blog post, learn a high-level architecture, built on AWS, that uses a graph database to analyze unstructured and structured educational data that can, for example, help inform a recommendation to a student for the appropriate courses to take in their next semester based on multiple personalized data factors.
How graph databases can enhance learning
Graph database solutions like Amazon Neptune from AWS help organize learner information to enable more holistic analysis for educational institutions and education technology companies (EdTechs). By linking learner data from multiple sources and drawing new correlations from data, educators can deliver more personalized learning experiences. In this blog post, learn how educators can use graph databases to enhance the learning experience.
Fighting fraud and improper payments in real-time at the scale of federal expenditures
Since 2003, the US federal government has made approximately $1.7 trillion in improper payments, with an estimated $206 billion made in FY 2020 alone. Improper payments are now anticipated to increase proportionally to new levels of federal spending. How can agencies fight improper payments at this scale? And what tools can agencies use to address fraud, erroneous data submission and other causes of this problem? Agencies can use AWS to solve the multi-sided issues of payment integrity.