Category: Generative AI

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.

Access Partnership recently conducted a study commissioned by Amazon Web Services (AWS) on AI skills across various industries globally—including education. The study found that employers and employees in the education sector anticipate that AI utilization will improve productivity by more than one-third. Read this post to learn more about this finding, and others, and what it means for the education sector.

UK Biobank, the world’s most comprehensive source of health data used for research, needed a purpose-built data platform with compute and data-storage capabilities that provided analysis tools in a centralized environment and the flexibility to manage increasing quantities of data. This led to the establishment and launch of the secure, cloud-based UK Biobank Research Analysis Platform (RAP), which is hosted on Amazon Web Services (AWS). Read this post to learn more about UK Biobank’s journey to becoming a globally accessible dataset for health researchers.

Amazon Web Services (AWS) is helping K12 school leaders understand how to leverage generative artificial intelligence (AI) in the most practical and responsible ways. Together with the Council of the Great City Schools and the Consortium for School Networking, we created the K-12 Readiness Checklist and the newly released K12 Generative AI Maturity Readiness Assessment. Read this post to learn about these fundamental tools that can help guide school districts as they implement generative AI.

Generative artificial intelligence (AI) is one of the most disruptive technologies in history, offering higher education institutions the opportunity to re-imagine a world where learning is highly personalized, seamless, and available to everyone. With this in mind, there’s one question that is a point of conversation across campuses: how can we leverage this technology and realize its potential while preparing our institutions, faculty, staff, and students for responsible use? In response, Amazon Web Services (AWS) helped EDUCAUSE develop a Higher Education Generative AI Readiness Assessment grounded in responsible use.

Last month, Amazon Web Services (AWS) hosted its fourth Gov2Gov event: Responsible AI Implementation at the Planet Word Museum in Washington, DC. The event convened senior public sector leaders and decision-makers from across the US Government (USG) to hear from White House officials and chief AI officers from federal government agencies. Read this blog post for a recap of the event and the main takeaways.

The advent of generative artificial intelligence (AI) and large language models (LLMs) present a transformative opportunity to address long-standing educational challenges around creating more personalized learning. In this post, we explain how to implement a personalized, self-paced student companion that addresses the challenges of tailored learning support by harnessing the power of AI to create a personalized, adaptive learning companion that caters to the diverse needs and skillsets of learners.

On 12 March, the Amazon Web Services (AWS) Public Sector Symposium Brussels returned to the Brussels Expo in Belgium. The no cost, in-person conference gathered cloud enthusiasts interested in the public sector for a day dedicated to deepening knowledge of how the cloud and generative artificial intelligence (AI) are transforming organizations and businesses around the world. Central to the event were the themes of generative AI, sustainability, security, and— importantly for Europe—digital sovereignty. Read this blog post for all of the key takeaways.

Today, Amazon Web Services (AWS) launched the 2024 AWS IMAGINE Grant cycle. The AWS IMAGINE Grant is a public grant opportunity open to registered nonprofit organizations and nonprofit healthcare providers who are using cloud technology to accelerate their missions. Now in its seventh year, the AWS IMAGINE Grant is expanding beyond the U.S. and U.K. to also seek proposals from eligible organizations based in Ireland.

Karsun Solutions, an Amazon Web Services (AWS) Partner, modernizes legacy enterprise systems to elevate the capabilities of its government agency customers. Karsun has created a modernization platform called ReDuX, which uses generative artificial intelligence (AI) powered by Amazon Bedrock. This blog post provides an overview of Karsun’s approach, which enables enterprises to successfully transition their business functions from a mainframe to microservices on AWS.