AWS Public Sector Blog

Category: Best Practices

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National framework for AI assurance in Australian government: Guidance when building with AWS AI/ML solutions

As Australia moves forward with a national framework for the assurance of artificial intelligence (AI) in government, Amazon Web Services (AWS) is committed to helping our customers implement AI solutions that align with Australia’s AI Ethics Principles. This post outlines how AWS tools and services can support government agencies in adhering to Australia’s AI Ethics Principles when developing AI and machine learning (ML) solutions. The post includes a focus on implementation to help Australian governments responsibly innovate whilst maintaining cloud-based agility.

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The AWS approach to accelerating innovation and procurement with state agencies

Despite a common misconception about government, state agencies regularly innovate on behalf of their constituents. In this post, Amazon Web Services (AWS) experts share examples of innovation from New Mexico and North Carolina. We also provide tips for accelerating procurement and maintaining visibility over rapidly implemented workloads.

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Discover the AWS Global Cloud Infrastructure located in Canada

The Amazon Web Services (AWS) Global Cloud Infrastructure is a secure, extensive, and reliable cloud platform, offering more than 200 fully featured services from data centers globally. When you want to distribute your applications globally, closer to your end users with single-digit millisecond latency, AWS offers the cloud infrastructure you require, whenever and wherever. In this post, we examine the part of the Global Cloud Infrastructure located in Canada and discuss the architecture of its AWS network backbone connectivity.

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Reimagining person-centered health and care with cloud-enabled technologies

Amazon Web Services (AWS) advanced technologies can help reimagine the way healthcare entities deliver person-centered care. Technologies such as generative artificial intelligence (AI) and the ability to manage petabytes (PB) of data help companies achieve actionable insights that improve care. They can drive the ability to build new care models, improve the human experience in their health and care process, and enable clinical professionals to practice at the top of their licenses. In this blog post, I describe some ways AWS helps companies reimagine the delivery of health and care.

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How AWS can enable the Government of Canada’s 2023-2026 Data Strategy

The potential of open data to transform governance and public services is immense, but realizing this potential requires overcoming common obstacles. In this post, we will explore best practices and solutions for Canadian public sector organizations seeking to use the cloud for open data, specifically examining how Amazon Web Services (AWS) can enable open data success.

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Harnessing the power of generative AI in the classroom and beyond

Can generative artificial intelligence (AI) help in addressing complex societal issues, such as the equality of access to education? Despite efforts from educators and policymakers, students with additional needs and those who come from socio-economically deprived backgrounds continue to consistently perform worse than other groups. Student performance gaps stubbornly refuse to close while the demands placed on teaching professionals by time-consuming administrative tasks and the challenges associated with lesson preparations continue to increase. Generative AI presents educators with an opportunity to change things.

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Embracing the Amazon Leadership Principles in the public sector

Embracing the Amazon Leadership Principles fosters a culture of customer obsession, ownership, and experimentation. Doing so has supported one Amazonian’s capabilities and his success as he’s continuously delivered on behalf of his public sector customers. In this post, he shares examples of how public sector customers have embraced the Leadership Principles, which has been both inspiring and validating to witness.

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Responsible AI for mission-based organizations

Machine learning (ML) and artificial intelligence (AI) are transformative technologies, enabling organizations of all sizes to further their mission in ways not previously possible. But, it is critical to think responsibly about these technologies so that all users are treated fairly, data is appropriately protected, and individuals can make informed choices about consent. In this post, we discuss responsible AI and how you should think about your workloads. This approach will help ensure your AI systems are fair, transparent, and secure.

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LocalGov Drupal on AWS serves as a digital transformation resource for local governments

Government organizations face challenges that include tight budgets and rapidly evolving citizen demands. They can address these challenges when they collaborate and share resources to accelerate digital transformation. In the UK, 44 local government bodies—called councils—use an open approach to share expertise and pool resources to transform their web publishing platforms using LocalGov Drupal. The GOV.UK Digital Marketplace includes LocalGov Drupal on Amazon Web Services (AWS). This post explains how councils used collaboration and shared resources to develop this digital public infrastructure which has reduced the cost of building council websites by up to 80 percent and delivered better services.

AWS branded background image with text overlay that says "How AWS helps agencies meet OMB AI governance requirements"

How AWS helps agencies meet OMB AI governance requirements

The Amazon Web Services (AWS) commitment to safe, transparent, and responsible artificial intelligence (AI)—including generative AI—is reflected in our endorsement of the White House Voluntary AI Commitments, our participation in the UK AI Safety Summit, and our dedication to providing customers with features that address specific challenges in this space. In this post, we explore how AWS can help agencies address the governance requirements outlined in the Office of Management and Budget (OMB) memo M-2410 as public sector entities look to build internal capacity for AI.