Category: Analytics

Funding sources for education technology (EdTech) companies slowed down in 2023. EdTech leaders must strike the right balance of investment to drive growth, and a return on investment for their owners. Read this blog post for an outline of the profitability framework that Amazon Web Services (AWS) uses with customers. The framework helps EdTechs improve cost efficiency, assess functionality expansion, and grow market share.

Amazon Web Services (AWS) made more than 140 announcements at re:Invent 2023. In this blog post, we’ll take key announcements from re:Invent and apply them to relevant K12 education use cases. From generative artificial intelligence (AI) to cost optimization, AWS can support your school, district, or educational service agency and enhance both the classroom and administrative experience. 

To improve safety and convenience, transportation agencies amass a substantial volume of data. However, these organizations encounter challenges in data accuracy validation due to issues related to data quality and occasional missing information. With the incorporation of new artificial intelligence and machine learning capabilities from Amazon Web Services (AWS), they can take advantage of no-code solutions to identify and address data gaps.

Climate risk consists of transition risk and physical risk. Transition risk represents regulatory and market-based risks while physical climate risk covers climate-related earth processes and its effects on the built and natural environment. In this blog post, we highlight how to use Amazon Web Services (AWS) to enrich your asset portfolio with open climate data hosted in AWS.

Fleet managers can use Amazon Web Services (AWS) to ingest and analyze fleet driver data. In this post, we share how a large public transit agency in the United States worked with AWS to create a proof-of-concept (POC) to analyze operator behavior and improve its visibility of sudden acceleration-based events.

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.

In this blog post, learn how companies operating in AWS can design architectures that maximize flexibility so they can support both cloud and on-premises deployment use cases for their satellite imagery processing workloads with minimal modifications. 

Compliance is essential, but ensuring compliance in the cloud with various regulations and standards can be challenging, especially for public sector organizations. The requirements are highly dynamic, constantly evolving, and they vary across countries. Read this blog post to learn about the Amazon Web Services (AWS) resources that can help customers meet compliance requirements, reduce their time and effort, and focus on core business objectives.

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.

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).