AWS Public Sector Blog
Category: Education
University of British Columbia Cloud Innovation Centre: Governing an innovation hub using AWS management services
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.
NSW Department of Education works with AWS to transform tech skills and the digital jobs landscape
The rise of artificial intelligence (AI) and digital technologies is changing how we work and what skills workers need to be able to thrive. To help meet this challenge in Australia, Amazon Web Services (AWS) has deepened its strategic collaboration with the New South Wales (NSW) Department of Education (DoE), which prioritises both educator and student upskilling. Read this post to learn more.
Happy Sad app leverages AWS generative AI to improve student well-being
The COVID-19 pandemic took a heavy toll on students’ mental health and well-being. In fact, a staggering 87 percent of public schools reported that the pandemic had negatively impacted their students’ social-emotional development during the 2021–2022 school year. These effects have lingered long past the pandemic, and students’ social-emotional well-being remains a primary concern of administrators, teachers, and parents. To address this ongoing crisis, The Happy Sad Company was founded. Collaborating with Amazon Web Services (AWS), they strategically planned, scaled, and launched an app to help teachers, parents, and students gain a better understanding of how things are going.
AWS helps Genomics England’s Multimodal programme accelerate research with whole slide images
Pathologists have been looking at morphological patterns in patients’ tissue sections highlighted by hematoxylin and eosin (H&E) staining for more than a century. However, as the pathology transformation from glass slides to digital imaging gains momentum, it opens the door to artificial intelligence (AI) tools to complement expert assessment with quantitative measurements to enable data-driven medicine. Yet, challenges remain with handling digital imaging files such as storage and pre-processing prior to application of AI tools. Genomics England have utilised Amazon Web Services (AWS) and tools such as Amazon SageMaker to demonstrate how to prepare digital pathology images for research and the development of machine learning models.
Hydrating the Natural History Museum’s Planetary Knowledge Base with Amazon Neptune and Open Data on AWS
The Natural History Museum (NHM) in London is a world-class visitor attraction and a leading science research center. NHM and Amazon Web Services (AWS) have partnered up to transform and accelerate scientific research by bringing together a broad range of biodiversity and environmental data types in one place for the first time. In an earlier post, we discussed NHM’s overall vision for using open data in combination with large-scale compute, data systems, and machine learning (ML) to create the Planetary Knowledge Base (PKB), a knowledge graph of global biodiversity. In this post, we focus on the underlying services and architecture that comprise the PKB.
AWS Canada launches $5 million Provincial and Municipal Cyber Grant Program
On September 11, 2024, Amazon Web Services (AWS) announced the launch of the Provincial and Municipal Cyber Grant Program across Canada at the AWS Summit in Toronto. To help provincial and municipal governments implement cloud-based cybersecurity solutions, AWS is investing $5 million CAD in AWS credits to new and existing AWS customers.
Generative AI as a force for good in facilitating cyber-resiliency in public sector organizations
The Digital Transformation Hub (DxHub) at California Polytechnic State University (Cal Poly) in San Luis Obispo – powered by Amazon Web Services (AWS) and part of the AWS Cloud Innovation Centers (CIC) program – collaborated with the City of San Diego and the San Diego Cyber Center of Excellence (CCOE) to create ‘My eCISO,’ a generative artificial intelligence (AI)-based application that propels public and private organizations on a path to cyber resiliency. This post explores the technology behind My eCISO and its implications for organizations looking to protect against attacks.
HolonIQ improves decision-making for executives with Amazon OpenSearch Service, Amazon Bedrock
HolonIQ is a global education intelligence platform that has partnered with Amazon Web Services (AWS) to transform how governments, institutions, and companies access and utilize critical information. By harnessing artificial intelligence (AI) and natural language processing (NLP) technologies, HolonIQ is empowering decision makers in the education, climate tech, and health sectors with instant access to comprehensive, trustworthy data and research. Read this post to learn more.
Médica Panamericana revolutionizes medical exam prep with AWS generative AI
Editorial Médica Panamericana is a leading biomedical publisher with more than 2,500 titles across 23 Spanish-speaking countries. Their 25,000-plus authors have developed trusted and world-class content for more than 70 years. Médica Panamericana, in partnership with BinPar, is constantly innovating to provide its readers the best possible experience. For example, Médica Panamericana recently applied generative artificial intelligence (AI) from Amazon Web Services (AWS) to its exam preparation resource, PROMIR. Read this post to learn more.
Introducing the Amazon Trusted AI Challenge
Amazon has launched the Amazon Trusted AI Challenge, a global university competition to drive secure innovation in generative artificial intelligence (generative AI) technology. This year’s challenge focuses on responsible AI and specifically on large language model (LLM) coding security.