AWS Public Sector Blog
Category: Public Sector
Harnessing the power of generative AI in AWS GovCloud
In this post, we explore how generative artificial intelligence (AI), powered by services such as Amazon Bedrock and Amazon SageMaker, can be harnessed to meet the unique challenges of AWS GovCloud (US). We highlight use cases that demonstrate the potential of generative AI to enhance efficiency, automate workflows, and extract insights—all within a secure, compliant framework.
Enhancing resource sharing with AWS Outposts
In this post, we explore how AWS services, open source software, and bespoke source code can help address resource sharing enhancements requested by public sector customers using AWS Outposts. This solution aims to provide greater flexibility, control, and cost management for organizations leveraging Outposts in multi-account environments, specifically focusing on key AWS resources, including Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Block Store (Amazon EBS), and Amazon Simple Storage Service (Amazon S3) on Outposts.
The benefits of an email-based AI virtual assistant on AWS
In today’s fast-paced and competitive business landscape, companies are constantly seeking ways to enhance efficiency, streamline operations, and provide top-notch customer service. Artificial intelligence (AI) has emerged as a powerful tool to help companies achieve these goals while revolutionizing the way they interact with customers. In this post, you can read about the transformative potential of email-based virtual assistants—a standout among AI applications—powered by Amazon Web Services (AWS).
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.
Aligning cloud adoption with business outcomes, organizational capabilities, and governance through a CCoE
This post is part two of a four-part series that addresses how a Cloud Center of Excellence (CCoE) can be a viable solution to address the challenges of digital transformation. Part two of the series focuses on the three nontechnical perspectives of the AWS Cloud Adoption Framework (AWS CAF). Successful cloud transformations require a holistic approach that goes beyond just the technical aspects, so the AWS CAF provides a comprehensive framework to guide organizations, covering the business, organizational, and governance perspectives.
Transforming financial markets: How FIA Tech built the Trade Data Network on AWS
This post discusses how FIA Tech, a leading technology provider for the exchange traded derivatives (ETD) industry, built the Trade Data Network (TDN) on Amazon Web Services (AWS). TDN is an industry initiative that provides a shared ledger of trading information to address the fragmentation and lack of transparency in ETD post-trade processing. The TDN initiative currently includes 17 banks/brokers and 40 investment managers and hedge funds with combined assets under management of more than $34 trillion.
Generating and editing AI images using Amazon Lightsail for Research
In this post, we show how Amazon Lightsail for Research can help you successfully deploy an artificial intelligence (AI) image generation model using open source software. We walk through deploying a Lightsail for Research GPU instance using a simplified console experience. We cover how to set up cost control rules in order to prevent or manage unnecessary costs. And we show how you can open network ports on your Lightsail for Research instance to allow others to access the software you are running.
Complying with updated NIH Genomic Data Sharing policies on AWS
The National Institutes of Health (NIH) has long maintained guidelines governing the responsible management of controlled access human genomic and phenotypic data maintained in NIH-designated data repositories. Recently, the NIH updated these guidelines to align with the NIST SP 800-171 security standard, which defines a comprehensive framework for securing Controlled Unclassified Information (CUI). In this blog post, we will explore the specifics of the updated NIH guidance and outline how Amazon Web Services (AWS) can help customers build a compliant environment to meet these requirements.
Transforming student communications: How Dallas College modernized its call center with AWS
For decades, Dallas College has been a beacon of affordable higher education in the Dallas-Fort Worth metroplex. Founded in 1965, this community college has welcomed more than 3 million students through its doors, empowering them to forge new careers, obtain vital training, and give back to their community. However, as enrollment swelled over the years, […]
Extracting insights from PubMed articles using Amazon Q Business
PubMed Central (PMC) is a leading resource for biomedical literature, offering a vast repository of full-text biomedical and life sciences journal articles. While PMC offers immense potential to accelerate scientific progress, inform evidence-based practice, and drive innovation in the biomedical and life sciences fields, the sheer volume of data presents a significant challenge. This is where Amazon Q Business comes in. It’s a powerful service designed to streamline the process of analyzing vast amounts of scientific literature and provide valuable insights efficiently. Read this post to learn more.