Category: Public Sector

In 2022, Emory launched the AI.Humanity initiative to explore the societal impacts of artificial intelligence (AI) and influence its future development to serve humanity. Emory aims to be a leading advocate for ethical use of AI and a top destination for students and faculty seeking to understand and apply its transformative technologies. Read this blog post to learn how Emory uses Amazon Web Services (AWS) to support the computing needs of AI.Humanity.

Applications and user experiences are poised to be reinvented with generative artificial intelligence (AI), and the public sector is no exception. Governments, education institutions, nonprofits, and health systems must constantly adapt and innovate to meet the changing needs of their constituents, students, beneficiaries, and patients. If used responsibly, this powerful technology can open doors to endless possibilities to increase creativity, productivity, and progress.

The UK Department for Work and Pensions (DWP) is one of the largest government departments in the UK, with more than 90,000 employees in more than 800 locations. It’s responsible for making $266 billion in payments each year. The DWP is carrying out a large-scale digital transformation to improve its services and the way it interacts with citizens. Read this blog post to discover three lessons that DWP learned about hiring, training, and retaining while reshaping its digital approach.

AWS GovCloud (US) was architected to have isolation (both physically and logically) from other AWS partitions for compliance. For this reason, AWS services, used to privately interconnect virtual private cloud (VPC) hosted resources within the same partition like AWS PrivateLink, Amazon Virtual Private Cloud (Amazon VPC) peering, or AWS Transit Gateway peering, cannot span from AWS GovCloud (US) to commercial Regions natively by design. In this post, we will highlight four connectivity patterns customers can use to interconnect VPC hosted systems cross partition.

In today’s rapidly evolving digital landscape, the demand for skilled tech professionals continues to outpace the supply. This talent gap poses significant challenges for businesses across Latin America, with almost half of tech vacancies remaining unfilled due to a lack of qualified candidates. Addressing this challenge, Amazon Web Services (AWS) has expanded the Skills to Jobs Tech Alliance to Brazil and Colombia. This initiative aims to foster collaboration among employers, academic institutions, and governments, ensuring that academic curricula aligns with real-world demands of businesses.

Protective DNS services, commonly known as PDNS, are a go-to solution if you’re aiming to bolster the security of your infrastructure from the ground up. Unlike traditional methods involving software-based agents or devices for traffic filtering, PDNS services take a unique approach – they scrutinise the DNS requests made by users and adjust responses based on predefined rules within the service. In this post, we explore the seamless integration of PDNS services with workloads in the Amazon Web Services (AWS) Cloud, showcasing their effectiveness in enhancing cybersecurity within cloud environments.

Andrés Tahta, managing director for Latin America public sector industry sales at Amazon Web Services (AWS), is an inspirational trailblazer who has devoted his career to uniquely solving tough problems with the power of technology. In the sixth episode of the AWS Behind the Cloud vodcast series, host Sarah Storelli interviewed Tahta about how generative AI is driving new levels of productivity and insights, and transforming offerings to foster continued innovation in Latin America.

The University of Pittsburgh, the University of Illinois Urbana-Champaign (UIUC), the University of California Davis Health Cloud Innovation Center (UCDH CIC)—powered by Amazon Web Services (AWS)—and the AWS Digital Innovation (DI) team have built a prototype that uses machine learning (ML) and generative artificial intelligence (AI) to transform the public health communications landscape by giving officials the tools they need to fight medical misinformation, disinformation, and malinformation.

Japan’s Mount Fuji is famous for its height and width but it’s also reachable by novice hikers without lots of time on their hands due to the nation’s efforts to make it accessible. Now, the researchers behind one of the world’s fastest supercomputers, Fugaku, which is another name for Mt. Fuji, are trying to make the supercomputer just as accessible on the Amazon Web Services (AWS) Cloud. Read this post to learn more.

The Pacific Northwest National Laboratory (PNNL) developed Aether as a reusable framework for sharing data and analytics with sponsors and stakeholders. Aether is a mature cloud-centered framework designed using Amazon Web Services (AWS) serverless services to provide a cost-effective and reliable environment for a dozen projects currently deployed with the framework. Read this post to learn more about how Aether’s serverless-first approach is enabling disaster response and risk management.