Tag: architecture

In September 2021, Japan took a leap with the establishment of its Digital Agency and the creation of the government cloud. With the goal to build a society in which no one is left behind by improving convenience, health, and happiness through digital technology, Japan’s Digital Agency represents the nation’s bold commitment to digital innovation across government and society. In June 2024, two cloud engineers from the Digital Agency, Kazuma Takeda and Shinichi Nishihata, shared their process and learnings at the Amazon Web Services (AWS) Summit Japan, the largest AWS learning event in the country. For those who were unable to attend or watch virtually, this post summarizes their presentation.

A flexible architecture is a crucial factor in unlocking the full potential of generative artificial intelligence (AI) solutions. 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 open source foundation models in a flexible way. This solution provides several benefits.

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.