AWS Public Sector Blog
Tag: Amazon S3
St. Louis University uses AWS to make big data accessible for researchers
The research team at SLU’s Sinquefield Center for Applied Economic Research (SCAER) required vast quantities of anonymized cell phone data in order to study the impacts of large-scale social problems. SCAER needed to store, clean, and process 450 terabytes of data, so it worked with Amazon Web Services (AWS) to create a fast, cost-effective solution for managing its growing quantities of data.
How the Imaging Data Commons migrated 40 million medical images using AWS DataSync
Learn how the National Cancer Institute Imaging Data Commons (IDC) team migrated the Imaging Data Commons data to AWS using AWS DataSync. Plus, learn how to get started with IDC data, which is accessible at no cost through the AWS Open Data Sponsorship Program.
SeloVerde uses geospatial big data and AI/ML to monitor deforestation in supply chains, powered by AWS
Open source geospatial artificial intelligence (AI) and machine learning (ML) analyses along with Internet of Things (IoT)-connected sensors can power near real-time data built on the cloud and assist in decision-making. Read this blog post to learn how Amazon Web Services (AWS) is supporting the Government of Pará, Brazil, in designing and deploying SeloVerde (Green Seal), a cutting-edge tool to address climate change challenges and traceability in deforestation-risk supply chains.
Icometrix helps to detect and treat neurological diseases with AI imaging, powered by AWS
Icometrix is a healthcare technology company that supports neurologists in making the correct diagnosis and prognosis for several brain diseases. Hundreds of clinical practices employ icometrix’s artificial intelligence (AI) imaging solutions, powered by Amazon Web Services (AWS), to aid in detecting and treating diseases such as multiple sclerosis and Alzheimer’s.
Nebraska Judicial Branch modernizes its Electronic Exhibits System using AWS
More than 180 courts compose the Nebraska Judicial Branch, which together handle more than 285,000 cases annually and all of the case exhibits that come with such a workload. This blog post highlights the Judicial Branch’s journey to building an electronic exhibits system on Amazon Web Services (AWS).
Alteia and the World Bank assess and enhance road infrastructure data quality at scale using AWS
Read this blog post to learn how the World Bank assesses road infrastructure faster and at less cost by using Alteia data analytics powered by Amazon Web Services (AWS), geospatial imagery, and satellite imagery available on the Registry of Open Data on AWS.
BriBooks improves children’s creative writing with generative AI, powered by AWS
Generative artificial intelligence (generative AI) has the potential to play several important roles in education, transforming the way we teach and learn. This blog post looks at how one EdTech startup, BriBooks, is leveraging generative AI to assist young children with creative writing.
USAID uses Amazon Transcribe to publish speeches in minutes
After migrating to the cloud, USAID knew it could streamline its transcription process of its leader’s public remarks with cloud technology. Read this blog to learn how USAID created a solution with Amazon Transcribe, an artificial intelligence (AI)-powered service from Amazon Web Services (AWS), in collaboration with AWS Partner CloudShape that helps the agency transcribe and publish remarks in minutes.
Using the cloud to advance collaborative water stewardship
Data is key to addressing current water challenges. The cloud can play a fundamental role in supporting organizations that are working toward solutions. Read this blog post to learn how Canadian non-profit organization DataStream provides an online platform for sharing information about freshwater health.
Build population health systems to enhance healthcare customer experiences on AWS
As the amount of health data increases, different healthcare, life sciences, population health, and public health organizations are working to modernize their data infrastructure, unify their data, and innovate faster with technologies like artificial intelligence and machine learning (AI/ML). In this blog post, we dive deep on architecture guidance that enables healthcare providers to improve patient care.