AWS Public Sector Blog

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.

Healthcare organizations face a significant challenge in making sense of the vast amounts of unstructured medical data trapped in patient records, lab results, and clinical guidelines. Approximately 97 percent of the 50 petabytes (PB) of healthcare data generated annually goes unused. This untapped resource could hold the key to improving patient care and saving valuable clinician time. Read this post learn how we built an innovative solution on Amazon Web Services (AWS) generative artificial intelligence (AI) capabilities that lets clinicians unlock this data treasure trove.

The American College of Radiology (ACR) is a nonprofit organization and world leader supporting the radiology community. Founded in 1923, ACR represents more than 41,000 diagnostic and interventional radiologists, radiation oncologists, nuclear medicine physicians, and medical physicists. In this post, we share how ACR implemented a Statistical Analysis System (SAS) solution on Amazon Web Services (AWS) to accomplish their big data processing and analysis needs, resulting in better cost optimization, performance improvements, and improved scalability.

Precision medicine is a data-driven approach that considers individual variations in genetics to allow healthcare professionals to more accurately predict, prevent, diagnose, or treat different groups of people. As part of ongoing research to advance genomic research in Singapore, companies like Amazon Web Services (AWS) and Illumina play a pivotal role in genome sequencing and analysis, and providing the tools and technology needed to analyse large-scale genomic datasets to help decode the risk factors for certain Asian-specific chronic diseases.

Federal agencies can use Amazon Web Services (AWS) to meet Trusted Internet Connections (TIC) 3.0 requirements. To facilitate this, AWS has published detailed architectural overlays that demonstrate how to effectively implement TIC 3.0 guidelines within AWS deployments. AWS Verified Access (AVA) is a cloud-based service that enables secure access to applications without requiring the use of a virtual private network (VPN). It evaluates each application request and gives users access to each application only when they meet the specified security requirements. AVA supports TIC 3.0 requirements in the areas of configuration management, centralized log management, strong authentication features, resilience, and policy enforcement. Read this post to learn more.

In this post, we provide technical guidance to help satellite operators build, deploy, and analyze satcom waveforms on Amazon Web Services (AWS). Details are provided about the orchestration of multiple waveforms, including an example of one Amazon Field-Programmable Gate Array (FPGA) Image being swapped in for another. We analyze the FPGA utilization and metrics in Amazon CloudWatch and Amazon QuickSight, and validate network performance against system latency requirements. Finally, we recommend actions you can take to build an agile satcom strategy.

Ash Thankey, director of national security sales at Amazon Web Services (AWS) Worldwide Public Sector (WWPS), is an empathetic and energizing trailblazer who has built a career embedded in diversity of thought and problem solving, with customer obsession at the forefront. If there is anyone who knows how to consider multiple viewpoints to make informed decisions that directly assist in mission outcomes, it’s Ash. Learn more as you watch the 10th episode of the AWS Behind the Cloud vodcast.

In this post, we showcase a Retrieval-Augmented Generation (RAG) application that can search and query across multiple Indian languages using the Cohere Embed – Multilingual model and Anthropic Claude 3 on Amazon Bedrock. This post focuses on Indian languages, but you can use the approach with other languages that are supported by the large language model.

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). AWS works with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-based techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. Through this program, customers are making over 100 petabytes (PB) of high-value, cloud-optimized data available for public use. This quarter, AWS released 39 new or updated datasets.

A multi-account strategy is important for Amazon Web Services (AWS) public sector customers because it is the foundation of cloud governance and compliance. Public sector customers using a shared account model can improve security and operational efficiency by adopting a multi-account strategy. In this post, we explore methods for existing AWS public sector customers to prepare for and migrate to a multi-account environment.