Category: Technical How-to

Public sector organizations often utilize third-party Software-as-a-Service (SaaS) to manage various business functions, such as marketing and communications, payment processing, workflow automation, donor management, and more. This common SaaS landscape can lead to data silos where data becomes isolated in disparate systems and difficult to centralize for business insights. If existing SaaS connectors are not available, public sector organizations can use AWS to build an API-driven data pipeline to consolidate data from SaaS platforms offering open APIs. In this post, learn how to build an API data pipeline on AWS.

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.

Since wildfires can double in size and intensity every three to five minutes, early detection and reduced response times are essential. Cloud technologies, including artificial intelligence (AI) and machine learning (ML), can help with this. Learn a high-level architecture to create a solution with AWS that uses AI to identify and classify wildfire smoke imagery and then rapidly alert and inform first responders about the location and condition of a fire incident.

GraphQL is a query language and server-side runtime system for application programming interfaces (APIs) that prioritizes giving clients exactly the information they request and no more. GraphQL can help public sector customers focus on their data and provide ways to explore the data in their APIs. Learn a reference architecture using serverless technologies that you can use to build GraphQL-enabled solutions in the AWS GovCloud (US) Regions to unify data access in real-time and simplify operations.

With state Medicaid agencies (SMAs) contacting all their members, contact centers must scale to meet increased demand—however, staffing shortages can make this outreach and call support difficult. SMAs can support staff members and make sure members get their communications needs met by using AWS and cloud technology to introduce automation into their outreach process. Learn how to deploy a serverless outbound campaign to meet Medicaid unwinding outreach needs and support agency staff members by streamlining the outreach process.

As the daily volumes of document submissions increases for government organizations, intelligent document processing (IDP) solution architectures must absorb spikes in requests without creating delays or other impact for the users. In cases where the processing volume exceeds the limits of the resources available in an AWS Region, organizations can distribute the workloads across multiple regions to increase the document processing throughput. This post presents high-level architecture guidance built around Amazon Comprehend to create a distributed document processing workload that can overcome the challenges of unpredictable request patterns.

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.

Learn how to store historical geospatial data, such as weather data, on AWS using Amazon DynamoDB. This approach allows for virtually unlimited amounts of data storage combined with query performance fast enough to support an interactive UI. This approach can also filter by date or by location, and enables time- and cost- efficient querying.

There may be use cases where customers must orchestrate actions spanning AWS GovCloud (US) and standard AWS partitions. The common reasons customers may need to invoke AWS services in a standard account from an AWS GovCloud (US) account (or vice versa) include: cross-domain applications, feature parity, and if the AWS service doesn’t exist in AWS GovCloud (US). In this blog post, learn how to navigate these scenarios.