AWS Public Sector Blog
Category: Amazon Machine Learning
New AI/ML solutions in AWS GovCloud (US) underpin responsible innovation
How can technology leaders rapidly deliver responsible artificial intelligence-based innovation while aligning with the broad spectrum of strict regulatory requirements? The answer is simple: Amazon Web Services (AWS) GovCloud (US) provides the technology that underpins a solid foundation for securely and compliantly building and deploying AI capabilities. Read this post to learn more.
AWS collaborates with Malaysia Ministry of Higher Education’s JPPKK to build next-generation AI workforce
Generative artificial intelligence (AI) has revolutionized how we work and is reshaping the workforce of the future. However, a recent study conducted by Access Partnership for AWS revealed that 81 percent of Malaysia’s employers struggle to find the AI talent they need, despite nine in 10 stating that hiring AI-skilled talent is a priority for them. To address the nation’s AI skills gap, AWS and Jabatan Pendidikan Politeknik & Kolej Komuni (JPPKK), an agency under Malaysia’s Ministry of Higher Education (MOHE), teamed up to introduce new training initiatives targeting both educators and students to uplift Malaysia’s TVET (technical and vocational education and training) community.
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.
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.
Elevating internal customer support at Thorn with AWS: A generative AI use case
Efficiently addressing internal customer support tickets can profoundly impact an organization’s productivity and employee well-being, apart from their ability to focus on the mission at hand. To meet these demands, many nonprofits, such as Thorn, are turning to innovative technology solutions. In this post, we explore how Thorn used Amazon Web Services (AWS) in conjunction with generative artificial intelligence (AI) to revolutionize their internal customer support for organization-wide IT, security, and engineering.