Category: Amazon Simple Queue Service (SQS)

This post demonstrates how to build serverless workflows on AWS that process such data using AWS Step Functions and integrate with downstream systems that have concurrency limitations.

What if a Medicaid agency could make sure that their leadership and staff had access to a reliable, single source of truth for their data in one unified platform? The implementation of an operational data store (ODS) presents a viable solution. This post explains the architectural choices available with Amazon Web Services (AWS) to effectively create and maintain an ODS.

In this post, we discuss a solution that uses AWS services to improve government communication accessibility and meet federal accessibility requirements. The serverless architecture automates document-to-speech conversion and delivers information to citizens with visual disabilities.

Personalized therapy for diseases such as cancer utilizes an individual’s unique genomic profile to guide treatment decisions. However, the effect and clinical significance of most genetic variants are uncertain. Accurate classification of the clinical significance of novel genetic variants requires extensive curation of peer-reviewed biomedical literature. In recent years, generative AI has demonstrated promising results in information extraction and text summarization. In this post, we explore how various AWS-native solutions can be used to create a secure, retrieval-augmented, and cost-effective biomedical chatbot designed to facilitate biocuration.

This post explores the architectural design and security concepts employed by Radboud University Medical Center Nijmegen (Radboudumc) to build a secure artificial intelligence (AI) runtime environment on Amazon Web Services (AWS). Business leaders dealing with sensitive or regulated data will find this post invaluable because it demonstrates a proven approach to using the power of AI while maintaining strict data privacy and security standards.

Government agencies handle vast volumes of bureaucratic documents daily, ranging from tax forms to medical records. This document-heavy workflow, often reliant on manual processing, can result in delays, errors, and increased operational inefficiencies, causing frustration among both employees and stakeholders. This post explores how intelligent document processing (IDP) solutions from Amazon Web Services (AWS) can modernize bureaucratic workflows, improve efficiency, and enhance service delivery within government agencies.

AWS App Studio is a low-code development platform for users to build, deploy, and manage applications without extensive coding knowledge. It is designed to streamline the application development process, making it more accessible to a wider range of users, including business users, IT professionals, and startups that don’t have large specialized IT teams. This post guides you through the process of creating a user-friendly create, read, update, and delete (CRUD) application to efficiently manage birth certificate applications using AWS App Studio.

Public sector organizations worldwide face a common challenge: processing an ever-growing volume of document-heavy applications across various services. From naturalization procedures to asylum applications and university admissions, many crucial processes still rely on manual or partially manual methods, leading to significant backlogs, extended processing times, and increased costs. This post explores how Amazon Bedrock can be used to address these challenges, focusing on streamlining naturalization applications.

In today’s digital world, ensuring the security of information is essential. One common scenario where data security is crucial is when files from external sources are received by an organization. While Amazon Simple Storage Service (Amazon S3) provides robust security features like the default encryption of all uploaded files, there are scenarios where it’s important to ensure that the incoming files are free from any kind of malware, such as viruses, before they are processed or stored inside the organization. Read this post to learn more.

To address fragmentation challenges, the European Commission launched the Public Procurement Data Space (PPDS), a pioneering initiative to consolidate, harmonize, and facilitate access to public procurement data across the European Union (EU). Amazon Web Services (AWS) and AWS Partner NTT DATA have been selected to implement this project, and you can read this post to learn more.