Tag: governance

Creating a government that is more transparent, better performing, and capable of responding to the needs of its citizens in real-time is not without its challenges. Governments must navigate a complex landscape of legacy systems, stringent regulations, and the need to protect sensitive citizen data. This is when the concept of a landing zone becomes essential.

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.

Amazon Web Services (AWS) recently collaborated with global consulting firm Alvarez & Marsal to produce a whitepaper, “Cloud data governance and best practices for public healthcare cloud adoption in Asia Pacific.” This paper aims to give recommendations based on best practice examples for health policymakers to provide clear direction to healthcare institutions for governance of healthcare data in the cloud. Read this blog post for a summary of the key takeaways.

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.

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.

Generative artificial intelligence (AI) is revolutionizing public agencies by streamlining services and providing valuable insights from large datasets. However, adding generative AI to your agency is not a simple process. SMX, an Amazon Web Services (AWS) Premier Tier Services Partner, helped one nonprofit agency build a robust architecture in the AWS Cloud that provided them the foundation for building and implementing generative AI tools. In this guest post, experts from SMX explain five best practices they used to help this agency prepare for generative AI.

The Amazon Web Services (AWS) Cloud Maturity Assessment (CMA) uses the AWS Cloud Adoption Framework (AWS CAF) to assess the maturity of your cloud adoption, and provide prescriptive guidance on prioritized next steps. By replacing guesswork with data-driven analysis, you will get a blueprint to prioritize, build, and mature your cloud capabilities. Read this post to learn more.

This post discusses how Amazon Web Services (AWS) can help you successfully set up an Amazon DataZone domain, aggregate data from multiple sources into a single centralized environment, and perform analytics on that data. Additionally, this post provides a sample architecture as well as a walkthrough on how to set up that architecture. Ultimately, this post serves as a valuable resource if you’re seeking to optimize your data management processes and derive actionable insights to drive business growth.

Generative artificial intelligence (AI) is easy to use but it’s important not to confuse ease of use with effortless deployment. The value of generative AI is inextricably linked to the technology’s reliability and traceability. To achieve this reliability and traceability in any organization, it helps to focus on AI’s potential one use case at a time but also to plan for the bigger picture. Read this blog post for a tried-and-tested AI framework to consider.

Amazon Web Services (AWS) hosted the AWS Sustainability Breakfast Briefing on February 20, 2024, in Dublin, Ireland, featuring a panel of sustainability experts from AWS customers and partners, as well as educational talks on important sustainability themes. The main takeaway is that sustainability transformation takes time – but every step along the journey can be meaningful. Read this blog post for a recap of key highlights from the briefing.