Category: Public Sector

In March 2021, HAQM Web Services (AWS) launched the Think Big for Small Business (TBSB) Program, which provides partners with access to financial incentives and additional visibility with customers and the AWS team. Since the program launched, it has supported 1,000-plus partners from 73 countries across the globe. In this post, we explore the pivotal role that the TBSB program plays in accelerating the growth of small business partners that serve public sector customers.

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.

K12 leaders need tangible solutions and tactics for improving their school’s or district’s cyber-resilience in the coming school year, and HAQM Web Services (AWS) is committed to supporting schools and districts as they enhance the cybersecurity of their networks. Recently, AWS joined the White House, the Department of Homeland Security, and the Department of Education—among other leaders in the government and education community—to commit to improving the cybersecurity resilience of K12 education. As part of this commitment, AWS created the K12 Cyber Grant Program, offering up to $20 million in AWS Promotional Credits to both new and existing K12 customers.

In this post, we explore the complexities of data privacy and controls on HAQM Web Services (AWS), examine how creating a landing zone within which to contain such data is important, and highlight the differences between creating a landing zone from scratch compared with using the AWS Landing Zone Accelerator (LZA) for Healthcare. To aid explanation, we use a simple healthcare workload as an example. We also explain how LZA for Healthcare codifies HIPAA controls and AWS Security Best Practices to accelerate the creation of an environment to run protective health information workloads in AWS.

The HAQM 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.

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.

The University of Pittsburgh Athletics Department wanted to know more about its fans, so it looked for an innovative solution and turned to HAQM 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.