AWS Public Sector Blog

Category: AWS Fargate

Transforming Public Sector Procurement with Agentic AI on AWS

Transforming Public Sector Procurement with Agentic AI on AWS

This post explores how an agentic AI architecture on Amazon Web Services (AWS) modernizes the procurement lifecycle from solicitation to proposal evaluation while maintaining compliance with government regulations including United States of America FAR (Federal Acquisition Regulation),United States of America DFARS (Defense Federal Acquisition Regulation), and Canadian procurement frameworks (Public Service Procurement Canada (PSPC) /Shared Services Canada (SSC).

Providing equitable access to NASA’s Earth science data archive

Providing equitable access to NASA’s Earth science data archive

In this blog, learn how NASA’s Earth Science Data and Information System (ESDIS) is migrating over 170 petabytes of Earth science data to AWS to provide equitable access to researchers worldwide, eliminating the “data fortress” problem while achieving significant cost efficiencies through intelligent tiering, serverless architecture, and economies of scale. The post also details how NASA made over 6,000 Earth Science collections visible in the Registry of Open Data on AWS, enabling seamless discovery and analysis for the broader AWS user community.

How NTU FRESH is using AWS to build predictive food safety at scale

How NTU FRESH is using AWS to build predictive food safety at scale

In this post, we walk you through how FRESH is translating cloud-enabled analytics into practical tools that support resilient, trusted food systems, starting with a deep dive into dynamic shelf-life modeling. Specifically, we detail how AWS services such as Amazon Simple Storage Service (Amazon S3), AWS Glue, and Amazon SageMaker AI are used to build and train predictive models.

A faster, more resilient digital repository: Migrating DSpace to AWS

A faster, more resilient digital repository: Migrating DSpace to AWS

Learn more about the Digital Research and Curation Center (DRCC), the group within the Sheridan Libraries that builds and manages digital infrastructure for open scholarship, migrated DSpace to the cloud with Amazon Web Services (AWS).

Scaling biomedical research on AWS: A cloud-native approach to scientific data management

Scaling biomedical research on AWS: A cloud-native approach to scientific data management

This post explores how cloud-native architectures built using Amazon Web Services (AWS) help research institutions manage, curate, publish, and analyze complex scientific datasets at scale.

AWS Branded Background with text "From inaccessible to inclusive: How the new PDF accessibility remediation solution helps institutions compliantly address accessibility requirements"

From inaccessible to inclusive: How the new PDF accessibility remediation solution helps institutions compliantly address accessibility requirements

Public entities must make sure that their digital content is accessible for people with disabilities. PDF documents can present challenging accessibility issues. In this post, we discuss an innovative, open source, and AI-driven solution to automate the remediation of these PDFs and bring them into compliance with Web Content Accessibility Guidelines (WCAG) 2.1 standards.

AWS branded background design with text overlay that says "Leverage generative AI for biocuration using Amazon Bedrock and Amazon Nova foundation models "

Leverage generative AI for biocuration using Amazon Bedrock and Amazon Nova foundation models

Personalized therapy for diseases such as cancer utilizes an individual’s unique genomic profile to guide treatment decisions. However, the effect and clinical significance of most genetic variants are uncertain. Accurate classification of the clinical significance of novel genetic variants requires extensive curation of peer-reviewed biomedical literature. In recent years, generative AI has demonstrated promising results in information extraction and text summarization. In this post, we explore how various AWS-native solutions can be used to create a secure, retrieval-augmented, and cost-effective biomedical chatbot designed to facilitate biocuration.

AWS branded background design with text overlay that says "Precise Software Solutions implements ML as a service on AWS to save time and money for federal agency"

Precise Software Solutions implements ML as a service on AWS to save time and money for federal agency

Precise Software Solutions, Inc. (Precise), an Amazon Web Services (AWS) Partner, participated in the AWS Think Big for Small Business Program (TBSB) to expand their AWS capabilities and to grow their business in the public sector. After completion of the program, Precise achieved Advanced tier partner status and was selected by a federal government agency to create a machine learning as a service (MLaaS) platform on AWS. The platform helped the agency gain a four-fold productivity improvement by streamlining and automating labor-intensive manual processes. Read this post to learn more.

AWS branded background design with text overlay that says "Singapore’s NHG Cares App uses AWS to support a healthier population"

Singapore’s NHG Cares App uses AWS to support a healthier population

The National Healthcare Group (NHG) is a leader in public healthcare in Singapore and is recognized for delivering high-value patient care. Its clinical services are provided through an integrated system of polyclinics, acute care tertiary hospitals, community hospitals, national specialty centers, and community-based care centers. Read this post to learn how NHG has collaborated with Amazon Web Services (AWS) to develop an intuitive and engaging mobile application called the NHG Cares App, which engages residents and spurs them to take charge of their health through personalized care plans, wellness coaching, health and social care programs, digital health education resources, and many other healthcare services.