Category: Messaging

For decades, Dallas College has been a beacon of affordable higher education in the Dallas-Fort Worth metroplex. Founded in 1965, this community college has welcomed more than 3 million students through its doors, empowering them to forge new careers, obtain vital training, and give back to their community. However, as enrollment swelled over the years, […]

Benefit programs like unemployment insurance are complicated and time-sensitive with weekly eligibility requirements. As a result, contact centers routinely experience high call volume that increases exponentially during economic downturns. Yet for many constituents, contact centers are the only lifeline to get the answers they need while looking for work. More than ever, agencies can benefit from AI and automation to reduce call volume, improve self-service, and empower staff productivity—not just to maintain service levels during low unemployment, but to scale and rise to the occasion of unexpected surges in demand.

Amazon Web Services (AWS) offers a variety of options for building chat-based assistants with generative artificial intelligence (AI) capabilities. The goal of this post is to present in simple words some of these options and what to keep in mind to decide which to use and how to get started.

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.

This post shows how Amazon Web Services (AWS) Ground Station customers can start using the Contacts dashboard for AWS Ground Station solution to fulfill their AWS Ground Station reporting and tracking needs. This solution automatically maps AWS Ground Station contacts to their associated costs and provides a feature-rich dashboard reporting capability.

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.

How can technology leaders rapidly deliver responsible artificial intelligence-based innovation while aligning with the broad spectrum of strict regulatory requirements? The answer is simple: Amazon Web Services (AWS) GovCloud (US) provides the technology that underpins a solid foundation for securely and compliantly building and deploying AI capabilities. Read this post to learn more.

Federal agencies typically collect, manage, use, and distribute a wide array of documents. Storing and distributing federal agency documents is often a complicated process; documents can range from structured formats to free-flowing documentation with personal identifiable information (PII) that needs careful redaction. And because federal agencies cover a wide breadth of domains, it is challenging to develop a one-size-fits-all approach for document processing. In this post, we explore an example of how a federal agency can use Amazon Web Services (AWS) to design and deploy a solution that addresses this document processing challenge.

In Modernizing tax systems with AWS, we briefly touched upon infrastructure and application modernization using microservices and serverless architectures. We hear from multiple tax and labor agencies about their desire to move to API-based architectures and adopt new technologies. In this post, we dive deeper into these areas and discuss benefits, approaches, and best practices for building modern tax and unemployment insurance (UI) applications using microservices.