Category: Artificial Intelligence

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.

Students attend community colleges for multiple reasons. Sometimes they drop out—for reasons that aren’t always entirely clear. Now, one of the largest community college districts in the country is determined to not only get a clearer picture but do something about it. Kern Community College District (KCCD) district in California is partnering with Amazon Web Services (AWS) to design and build a student-centered course planning tool to support the district’s Guided Pathways model.

When the COVID-19 pandemic hit, New Mexico’s Human Services Department (HSD) needed a new way to deliver contact center services safely and found it with Amazon Web Services (AWS). Using Amazon Connect, a cloud-based, artificial intelligence (AI)-powered contact center, HSD scaled to meet demand and enabled workers to answer people’s questions from their homes.

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.

One of the biggest constraints in providing equitable access to care is the language barrier between providers and the patients they serve. For Medicaid agency call centers, there aren’t enough agents to support communication in all the languages requested by a state government. Some states want to support nearly 20 languages in the call center […]