AWS Public Sector Blog
Operationalizing cloud adoption with the AWS Cloud Maturity Assessment
The Amazon Web Services (AWS) Cloud Maturity Assessment (CMA) uses the AWS Cloud Adoption Framework (AWS CAF) to assess the maturity of your cloud adoption, and provide prescriptive guidance on prioritized next steps. By replacing guesswork with data-driven analysis, you will get a blueprint to prioritize, build, and mature your cloud capabilities. Read this post to learn more.
Singapore’s National Library Board aims to unlock country’s rich heritage with AR app built by AWS Partner NCS
The vision of Singapore’s National Library Board goes beyond making information accessible; the NLB is focused on bringing the richness of the nation’s cultural heritage right to the palm of your hand. As part of its LAB25 (Libraries and Archives Blueprint 2025) Singapore Storytellers initiative, the NLB seeks to nurture a stronger appreciation and understanding of the Singapore experience. To support this, Amazon Web Services (AWS) collaborated with Singapore-based NCS, a leading technology services firm, to create an interactive augmented reality (AR) web application prototype on the AWS Cloud.
Univ. of Pittsburgh Athletics use AWS to unlock data insights for every step of the fan journey
The University of Pittsburgh Athletics Department wanted to know more about its fans, so it looked for an innovative solution and turned to Amazon Web Services (AWS). By focusing on fan behavior and seeking out trends in ticket sales, the department hoped to answer questions surrounding team loyalty and how they could stay competitive. This post provides an overview of the powerful solution Pitt Athletics built to engage with and sell to its fanbase.
Building NHM London’s Planetary Knowledge Base with Amazon Neptune and the Registry of Open Data on AWS
The Natural History Museum in London is a world-class visitor attraction and a leading science research center. NHM and Amazon Web Services (AWS) have worked together to transform and accelerate scientific research by bringing together a broad range of UK biodiversity and environmental data types in one place for the first time. In this post, the first in a two-part series, we provide an overview of the NHM-AWS project and the potential research benefits.
Use Amazon SageMaker to perform data analytics in AWS GovCloud (US) Regions
Amazon SageMaker is a fully managed machine learning (ML) service that provides various capabilities, including Jupyter Notebook instances. While RStudio, a popular integrated development environment (IDE) for R, is available as a managed service in Amazon Web Services (AWS) commercial Regions, it’s currently not offered in AWS GovCloud (US) Regions. Read this post, however, to learn how you can use SageMaker notebook instances with the R kernel to perform data analytics tasks in AWS GovCloud (US) Regions.
Open government procurement drives innovation using the cloud
It should be simple to build digital platforms that offer people reliable, clear ways to access government services such as healthcare, business registration, and welfare payments. Cloud technology makes it possible for every service to be simple, reliable, scalable, adaptable, and secure. Public sector agencies need to be able to access the cloud, and they do so through public procurement processes. Procurement’s role in supporting modern, digital services for governments is the subject of a report from the Open Data Institute (ODI) and Open Contracting Partnership (OCP).
Student training program tackles Thailand’s air pollution with help from AirGradient, AWS
Amazon Web Services (AWS) is supporting AirGradient, a manufacturer of affordable and accurate air quality monitors, to launch an air quality tracking program with Mechai Bamboo School in Thailand. The program—which will see 100 monitors donated to the school and its partners, part of a wider donation of 200 monitors from AWS to non-government organisations across Asia via AirGradient—will teach students about the science of air quality, the consequences of air pollution, and how to use the monitors.
Breaking barriers and leveraging generative AI to advance the US Federal Government: Insights from AWS executive Yvette Cesario
The US Federal Government has endless opportunity to lead the way as well as adopt best practices for how the latest technologies, including generative artificial intelligence (AI), can be leveraged to fulfill its various missions. Yvette Cesario, director of national security sales at Amazon Web Services (AWS) Worldwide Public Sector (WWPS), was the guest on the seventh episode of the AWS Behind the Cloud vodcast and shared her insights about how generative AI has endless opportunities for the US Federal Government to leverage to transform its operations and missions.
Use modular architecture for flexible and extensible RAG-based generative AI solutions
In this post, we cover an Amazon Web Services (AWS) Cloud infrastructure with a modular architecture that enables you to explore and take advantage of the benefits from different Retrieval-Augmented Generation (RAG)-based generative AI resources in a flexible way. This solution provides several benefits, along with faster time-to-market and shorter development cycles.
Use Landing Zone Accelerator on AWS customizations to deploy Cloud Intelligence Dashboards
In this post, you will learn how to deploy Amazon Web Services (AWS) Cloud Intelligence Dashboards (CID) using the Landing Zone Accelerator on AWS (LZA) solution. In doing so, you will learn how to customize your LZA deployment using the customizations-config.yaml file. By utilizing the LZA and CID together, you can streamline the deployment process, ensure compliance with best practices, and gain valuable insights into your cloud environment, ultimately leading to improved operational efficiency, enhanced security, and better-informed decision-making.