Tag: architecture

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 Amazon 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.

In this post, we cover an Amazon Web Services (AWS) Cloud infrastructure with a modular architecture that enables you to explore and take advantage of the benefits from different Retrieval-Augmented Generation (RAG)-based generative AI resources in a flexible way. This solution provides several benefits, along with faster time-to-market and shorter development cycles.

In this blog post, learn key AWS concepts and services that can help agencies modernize their cloud and data architecture. First, learn two fundamental concepts that agencies need to examine regardless of their technical approach. Then, discover the AWS services that enable agencies to apply these concepts to meet mission needs.

This blog summarizes some of the benefits of cloud-based ground segment architectures, and demonstrates how users can build a proof-of-concept using AWS Ground Station’s capability to transport and deliver Wideband Digital Intermediate Frequency (DigIF) data, along with the software-defined radio Blink, built by the AWS Partner Amphinicy.

The Landing Zone Accelerator on AWS (LZA) solution deploys a cloud foundation that is architected to align with AWS best practices and multiple global compliance frameworks. Customers with highly-regulated workloads and complex compliance requirements can use the LZA to better manage and govern their multi-account environment. Some of these same customers are also using VMware Cloud on AWS to integrate on-premises vSphere environments, allowing them to move existing workloads to the cloud more quickly. In this blog post, explore the technical considerations related to integrating your LZA landing zone with your VMware Cloud on the AWS environment.

Learn how traditional connectivity methods affect the agency employee experience while accessing applications. Then, discover how AWS Verified Access from AWS and software-defined wide-area network (SD-WAN) can improve the employee  experience while accessing enterprise applications while maintaining reliability and security.

Some US federal agencies and those who collaborate with them must support an automated, secure, and scalable multi-account cloud environment that meets Federal Risk and Authorization Management Program (FedRAMP) and Cybersecurity Maturity Model Certification (CMMC) standards. To support these needs, AWS customers and partners can deploy the Landing Zone Accelerator (LZA) on AWS. Recently, AWS worked with Coalfire, a FedRAMP-approved third-party assessment organization (3PAO) and AWS Partner, to assess and verify the LZA solution.

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.

Local public health departments must notify public health agencies, like state health departments or the Centers for Disease Control and Prevention (CDC), of reportable conditions. These departments receive various types of reports of healthcare conditions through email, in addition to more traditional methods such as mail, fax, or phone calls. Local health departments can dramatically reduce the time and costs associated with manually processing email attachments and improve processing efficiency using automation. In this blog post, learn how to create an automated email attachment ingestion, storage, and processing solution powered by artificial intelligence (AI) and machine learning (ML) services from AWS.

AWS is helping the 911 community mitigate the impact of staffing shortages on call wait times by providing 911 centers the means to automate the receipt and resolution of designated non-emergency calls. Learn how the Jefferson County Communications Center Authority is already seeing improvements using an AWS solution, and discover the solution’s components that support 911 centers in handling non-emergency calls at scale.