AWS Public Sector Blog
Category: Artificial Intelligence
How federal agencies can optimize document processing using advanced AI with human oversight
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.
re:Invent 2024: Your public sector playbook for AWS’s biggest event
On December 2, the Amazon Web Services (AWS) re:Invent conference returns to Las Vegas for our 13th year of learning with cloud enthusiasts from around the world. This flagship AWS event unites global visionaries to explore the latest technologies redefining what’s possible for their missions. For our public sector pioneers, tailored sessions and activations will amplify your re:Invent experience, and this post will help you to start charting your personalized agenda today.
Battling the food security crisis with Agents for Amazon Bedrock
The 2024 version of the United Nations (UN) annual report “The State of Food Security and Nutrition in the World” found that about 29.6 percent of the global population, or about 2.4 billion people, were moderately or severely food insecure in 2022, meaning they did not have adequate access to food. Food security can be caused by a number of factors, including poverty, inflationary factors, violent conflict, and the effects of climate change. In this post, we demonstrate how generative artificial intelligence (AI) can help organizations better understand the food security crisis.
Using ArcGIS GeoAnalytics Engine on Amazon EMR to predict rideshare demand
Rideshare demand prediction is a well-explored topic in academia and industry, with abundant online resources offering diverse modeling frameworks tailored to different geographic contexts. A challenge with rideshare demand prediction, however, is that the trip data required to calibrate or train models can be exceptionally large. In this post, we explore the challenges of big data analytics and showcase how ArcGIS GeoAnalytics Engine, a spatial analytics library for the Apache Spark environment, can be used on Amazon EMR to effectively address these problems.
Streamlining educational assessment tools with generative AI on AWS
Curriculum Associates is an education technology (EdTech) company using data-driven technology to bring personalized, evidence-based learning to K12 education institutions. Drawing on the AWS team’s considerable AI expertise and using generative AI resources from AWS, Curriculum Associates transformed their alignment process, freeing up their staff to focus on efforts more directly related to supporting student growth and serving teachers.
Microservices-based tax and labor systems using AWS
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.
University Hospitals Coventry and Warwickshire NHS Trust digitizes and improves patient experience with AWS
Like many healthcare providers, University Hospitals Coventry and Warwickshire (UHCW) NHS Trust, which manages two major hospitals and serves a population of more than one million, has operated with legacy technology that relies heavily on phone calls and manual processes for contacting patients. Recognizing an opportunity to modernize, the Trust linked up with IBM Consulting for an innovative pilot project to digitize patient engagement channels using Amazon Web Services (AWS). Read this post to learn more.
EDUCAUSE 2024: 5 ways AWS Partners are building the future of higher education
Leaders in higher education recognize that generative artificial intelligence (AI), machine learning (ML), cloud computing, and other advanced technologies are rapidly changing how education and research happen on campus. Whether through data-driven administrative decision-making, generative AI infrastructure for research, or enhanced learning tools for the classroom, higher education institutions are developing and applying technology in innovative and helpful ways. Some of these examples will be shared at the EDUCAUSE Annual Conference from October 21-24 in San Antonio.
AWS hosts inaugural Defense Industry Partner Forum
In August 2024, Amazon Web Services (AWS) convened more than 65 Defense Industrial Base (DIB) companies at Amazon’s HQ2 in Arlington, Virginia for the inaugural AWS Defense Industry Forum. The DIB consists of more than 100,000 companies and subcontractors, which support the U.S. Department of Defense (DoD), and AWS joins forces with DIB partners to provide global infrastructure and cutting-edge technology to outpace our adversaries. Read this post to learn more about the two-day event.
Acentra Health processes 35M Medicare documents 50% faster with IDP on AWS
Acentra Health helps Medicare beneficiaries file quality of care complaints and appeals regarding early hospital discharge or early termination of skilled services. Processing these cases requires meticulous data entry from patient records and forms related to prior authorization notices, patient care, and case management, which often consist of complex medical history. To better support its clients, Acentra Health implemented an intelligent document processing (IDP) solution using Amazon Web Services (AWS). Read this post to learn how their IDP solution reduced document processing times and lowered costs.