AWS Public Sector Blog

Category: AWS CloudFormation

AWS branded background design with text overlay that says "Simplify satellite contact reporting with the AWS Ground Station contacts dashboard"

Simplify satellite contact reporting with the AWS Ground Station contacts dashboard

This post shows how Amazon Web Services (AWS) Ground Station customers can start using the Contacts dashboard for AWS Ground Station solution to fulfill their AWS Ground Station reporting and tracking needs. This solution automatically maps AWS Ground Station contacts to their associated costs and provides a feature-rich dashboard reporting capability.

AWS branded background design with text overlay that says "Battling the food security crisis with Agents for Amazon Bedrock"

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.

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How to use AWS Wickr to enable healthcare workers to interact with generative AI

Amazon Web Services (AWS) Wickr is an end-to-end encrypted messaging and collaboration service with features designed to keep internal and external communications secure, private, and compliant. In this post, we present an architecture that uses the Wickr messaging solution for protected communication with a generative AI backend system, which uses an existing open source project: the AWS GenAI Chatbot. Read this post to learn more.

AWS branded background design with text overlay that says "Improving constituent experience using AWS-powered generative AI chatbots"

Improving constituent experience using AWS-powered generative AI chatbots

Generative artificial intelligence (AI) can transform the experience of state and local government constituents. With Amazon Lex, you can design and build sophisticated voice and text conversational interfaces, deploy omnichannel experiences with pre-built integrations to contact center solutions, and pay only for speech and text requests with no upfront costs or minimum fees. This post provides a technical walkthrough for building a generative AI chat-based solution.

AWS branded background with text overlay that says "Mitigating inadvertent IPv6 prefix advertisement with AWS automation"

Mitigating inadvertent IPv6 prefix advertisement with AWS automation

As federal agencies migrate to the Trusted Internet Connections (TIC) 3.0 framework, they will use Amazon Web Services (AWS) to exit to the internet, bypassing the TIC network. This transition requires agencies to plan and coordinate migration activities to verify seamless IPv6 connectivity. Agencies need to coordinate advertising their IPv6 prefixes with AWS, using mechanisms like Bring your own IP addresses (BYOIP). The migration process could involve changes in routing policies, firewall rules, and security controls to accommodate the IPv6 prefix changes. Read this post to learn more.

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University of British Columbia Cloud Innovation Centre: Governing an innovation hub using AWS management services

In January 2020, Amazon Web Services (AWS) inaugurated a Cloud Innovation Centre (CIC) at the University of British Columbia (UBC). The CIC uses emerging technologies to solve real-world problems and has produced more than 50 prototypes in sectors like healthcare, education, and research. The Centre’s work has involved 300-plus AWS accounts across various groups, including external collaborators, UBC staff, students, and researchers. This post discusses the management of AWS in higher education institutions, emphasizing governance to securely foster innovation without compromising security and detailing policies and responsibilities for managing AWS accounts across projects and research.

AWS branded background design with text overlay that says "Hydrating the Natural History Museum’s Planetary Knowledge Base with Amazon Neptune and Open Data on AWS"

Hydrating the Natural History Museum’s Planetary Knowledge Base with Amazon Neptune and Open Data on AWS

The Natural History Museum (NHM) in London is a world-class visitor attraction and a leading science research center. NHM and Amazon Web Services (AWS) have partnered up to transform and accelerate scientific research by bringing together a broad range of biodiversity and environmental data types in one place for the first time. In an earlier post, we discussed NHM’s overall vision for using open data in combination with large-scale compute, data systems, and machine learning (ML) to create the Planetary Knowledge Base (PKB), a knowledge graph of global biodiversity. In this post, we focus on the underlying services and architecture that comprise the PKB.

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SoftwareOne boosts developer efficiency and streamlines code reviews using Amazon Bedrock

SoftwareOne, an Amazon Web Services (AWS) Premier Tier Services Partner and a global provider of end-to-end software and cloud technology solutions, addresses code review challenges with its automated solution, SummarAIze, powered by the generative artificial intelligence (generative AI) capabilities of Amazon Bedrock. This post provides an overview of SoftwareOne’s approach to building SummarAIze and its impact on the software development process.

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Using customer-provided ephemerides with AWS Ground Station

Amazon Web Services (AWS) Ground Station is a cloud-based service that provides you with an opportunity to perform communication sessions with your satellite without spending a fortune on your own ground station infrastructure. AWS Ground Station balances between providing a ready-made solution and tailoring the service to meet the unique needs of each customer. One of the ways to customize the service is to use customer-provided ephemerides (CPE) for antenna targeting.

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Satellite mission operations using artificial intelligence on AWS

Cognitive Space is a leading Amazon Web Services (AWS) Partner delivering intelligent automation to satellite constellation operations using the CNTIENT platform. The system uses AWS-powered artificial intelligence (AI) decision making to handle highly complex and dynamic satellite tasking requirements, and demanding mission requirements. This blog post provides technical guidance for building and operating mission operation centers (MOCs) on AWS.