Category: Government

The HAQM Web Services (AWS) commitment to safe, transparent, and responsible artificial intelligence (AI)—including generative AI—is reflected in our endorsement of the White House Voluntary AI Commitments, our participation in the UK AI Safety Summit, and our dedication to providing customers with features that address specific challenges in this space. In this post, we explore how AWS can help agencies address the governance requirements outlined in the Office of Management and Budget (OMB) memo M-2410 as public sector entities look to build internal capacity for AI.

Governments encourage public sector organizations, businesses, and citizens to embrace digital technologies and practices through a range of incentives. These incentives standardize processes and motivate behaviors that achieve the objectives of these initiatives in a way that can be sustained over time. This post, written by an HAQM Web Services (AWS) government transformation advisor, highlights 10 ways that governments use incentives to accelerate successful digital transformation. 

Generative artificial intelligence (AI) is revolutionizing public agencies by streamlining services and providing valuable insights from large datasets. However, adding generative AI to your agency is not a simple process. SMX, an HAQM Web Services (AWS) Premier Tier Services Partner, helped one nonprofit agency build a robust architecture in the AWS Cloud that provided them the foundation for building and implementing generative AI tools. In this guest post, experts from SMX explain five best practices they used to help this agency prepare for generative AI.

Citizens are increasingly expecting government to provide modern digital experiences for conducting online transactions. Market research tells us 63 percent of consumers see personalization as the standard level of service. This post offers various architectural patterns for improving customer experience for the public sector for a wide range of use cases. The aim of the post is to help public sector organizations create customer experience solutions on the HAQM Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.

Government agencies are increasingly using large language models (LLMs) powered by generative artificial intelligence (AI) to extract valuable insights from their data in the HAQM Web Services (AWS) GovCloud (US) Regions. In this guide, we walk you through the process of adapting LLMs to specific domains with parameter efficient fine-tuning techniques made accessible through HAQM SageMaker integrations with Hugging Face.

In this post, we will explore the use of generative artificial intelligence (AI) chatbots as a natural language alternative to the service catalog approach. We will present an HAQM Web Services (AWS) architecture pattern to deploy an AI chatbot that can understand user requests in natural language and provide interactive responses to user requests, directing them to the specific systems or services they are looking for. Chatbots simplify the content navigation and discovery process while improving the customer experience.

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, HAQM 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.

HAQM 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 HAQM 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.

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).

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 HAQM 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.