AWS Public Sector Blog

Category: Public Sector

Swinburne and AWS collaborate on Data for Social Good Cloud Innovation Centre

At the AWS Sydney Summit, Swinburne University of Technology announced the launch of the Data for Social Good Cloud Innovation Centre (CIC) powered by Amazon Web Services (AWS). The new centre is the first of its kind in the Southern Hemisphere and will leverage the expertise of Swinburne’s research institutes, which specialise in health, social innovation, and smart cities.

Driving Innovation in Europe – AWS Public Sector Summit Brussels Recap

For the second year, AWS hosted our AWS Public Sector Summit in Brussels, Belgium, on Tuesday, April 9. This year, we welcomed over 700 attendees from across the European Union. The Summit focused on key public sector themes across the region including training and workforce development, migration and transformation, data privacy and security, and machine learning and artificial intelligence.

AWS and Chile Launch the Data Observatory Project

Amazon Web Services (AWS) has been selected as a founding member of Chile’s Data Observatory project, an innovative public-private alliance with the Chilean Government. The alliance is being created to consolidate, analyze real-time, and archive astronomy data streams from all wavelengths across all Chilean observatories in the Atacama Desert, where 70 percent of the world’s telescopes are located due to the ideal observation conditions that the geographical area provides. AWS will host the images and data that are recorded and downloaded from Chile’s world-renowned telescopes, which are continuously studying space.

Geo-Diverse Open Training Data as a Global Public Good

Radiant Earth Foundation is a nonprofit focused on delivering open geospatial data and analytics to the global development community (GDC) in support of their missions to address the Sustainable Development Goals (SDGs) and other key targets. Radiant Earth supports GDC by aggregating open geospatial data and providing access through its cloud-based platform, generating open Earth Observation (EO) machine learning tools and training data libraries, and creating new metadata standards through its MLHub Earth initiative. Additionally, the organization offers training resources to support capacity development and expertise in the geospatial and remote sensing sciences.