AWS Public Sector Blog

Category: Amazon Textract

AWS branded background design with text overlay that says "Improving customer experience for the public sector using AWS services"

Improving customer experience for the public sector using AWS services

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 Amazon Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.

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Deploy LLMs in AWS GovCloud (US) Regions using Hugging Face Inference Containers

Government agencies are increasingly using large language models (LLMs) powered by generative artificial intelligence (AI) to extract valuable insights from their data in the Amazon Web Services (AWS) GovCloud (US) Regions. In this guide, we walk you through the process of hosting LLMs on Amazon Elastic Compute Cloud (Amazon EC2) instances, using the Hugging Face Text Generation Inference (TGI) Container (TGI) for serving custom LLMs.

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Build population health systems to enhance healthcare customer experiences on AWS

As the amount of health data increases, different healthcare, life sciences, population health, and public health organizations are working to modernize their data infrastructure, unify their data, and innovate faster with technologies like artificial intelligence and machine learning (AI/ML). In this blog post, we dive deep on architecture guidance that enables healthcare providers to improve patient care.

Extracting, analyzing, and interpreting information from Medicaid forms with AWS

Extracting, analyzing, and interpreting information from Medicaid forms with AWS

What if paper forms could be processed at the same speed as digital forms? What if their contents could be automatically entered in the same database as the digital forms? Medicaid agencies could analyze data in near real time and drive actionable insights on a single dashboard. By using artificial intelligence (AI) and machine learning (ML) services from AWS, Medicaid agencies can create this streamlined solution. In this walkthrough, learn how to extract, analyze, and interpret relevant information from paper-based Medicaid claims forms.

tax forms with calculator on table top

Taxes, governments, and great experiences using the cloud

Information technology and cloud services can be enablers for modernization of these business processes and tax systems, and improved constituent experience. For public administrators, these tools can also shorten the window between the enactment of a new law and its timely and successful implementation. Here’s how governments are addressing some major challenges using the AWS Cloud.

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Using AI to rethink document automation and extract insights

The maturing of artificial intelligence (AI) has brought ready-made services that organizations can use, not only to automate data entry work but also to apply intelligence into the business process. Using modern AI capabilities on AWS, organizations can transform approaches to document management. This allows public sector organizations to save time (enabling faster throughput especially during higher volume paperwork times), so they can help get constituents their services faster, and focus on the most valuable work of the high-touch or high-need cases. Document automation helps reduce human entry error and provide backup services in case of natural disaster.