Category: Analytics

Satellite communications (satcom) networks typically offer a rich set of performance metrics, such as signal-to-noise ratio (SNR) and bandwidth delivered by remote terminals on land, sea, or air. Customers can use performance metrics to detect network and terminal anomalies and identify trends to impact business outcomes. This walkthrough presents an approach using serverless resources from AWS to build satcom control plane analytics pipelines. The presented architecture transforms the data to extract key performance indicators (KPIs) of interest, renders them in business intelligence tools, and applies machine learning (ML) to flag unexpected SNR deviations.

Data spaces can help break down these silos between industries and sectors. Data spaces facilitate a decentralized and secure data exchange across organizations and industries that come together to pool, access, process, and share data. They enable simple, secure, open standards-based, and interoperable data-sharing, while allowing for organizations to maintain full control over their data. Learn how data spaces support simple and secure data-sharing between organizations and sectors, current data space initiatives in Europe and beyond, and how to leverage a data space with AWS.

In the public sector, civic leaders must make sure that a wide variety of citizen services are delivered efficiently, responsibly, and successfully. To identify high performing operations and support those in need of improvement, decision-makers need real-time data in formats that are simple to interpret and understand. In my 25 years of experience serving the public sector, I’ve found that there are four foundational considerations for implementing a comprehensive public sector data analytics and performance management strategy.

At AWS, many public sector customers operate fleets of vehicles (e.g. emergency response, public transportation) that generate location data, which is ultimately stored in a data lake. These customers frequently ask how they can quickly visualize this data and extract insights that can help them optimize how they operate their vehicle fleets. In this post, learn how to use Amazon Athena and Amazon Location Service to perform ad hoc reverse geocoding on a notional dataset of vehicle location history, and visualize the results on an Amazon QuickSight map.

Higher education institutions are turning to data to solve challenges, improve efficiency, and create a better student experience. But to obtain the answers institutions need to thrive and better serve students, they often need new technologies. Many universities are upgrading IT systems and investing in state-of-the-art analytics solutions. Case Western Reserve University (CWRU) is one such institution that has taken steps to innovate by creating opportunities for evolution with AWS.

AMILI is a healthcare technology (HealthTech) company based in Singapore that seeks to advance precision medicine and personalized health and nutrition by harnessing the potential of the microbiome. AMILI uses artificial intelligence (AI) and machine learning (ML) on AWS to comprehensively quantify and characterize gut microbiomes. AMILI aims to build and curate the world’s largest multi-ethnic Asia microbiome database.

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. This quarter, AWS released 34 new or updated datasets from Impact Observatory, The Allen Institute for Brain Science, Common Screens, and others, which are available now on the Registry of Open Data in the following categories.

The Infrastructure Investment and Jobs Act (IIJA), commonly referred to as the Infrastructure Bill, allocates over $350 billion in funding for major projects in the United States. As they consider where to allocate these funds, public infrastructure owners, especially Department of Transportation (DOT) and public works agencies, have to assess the condition of their assets, determine what to prioritize while rebuilding, and identify what needs maintenance. Learn about key benefits for agencies from using cloud-based asset management software.

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.

Texas Region 4 ESC (TX-Region 4) is a regional education service center that offers a range of services that help K12 education organizations improve student performance, enable faculty success, and implement state initiatives. When TX-Region 4 wanted to migrate its business intelligence (BI) solution to the cloud, they turned to AWS and Amazon QuickSight to save time and produce more insights to better their educational offerings.