AWS Public Sector Blog
Category: Artificial Intelligence
Demystifying AI: How RAG boosts efficiency in state and local government departments
Welcome to the frontier of public sector innovation, where artificial intelligence (AI) is not just a buzzword but a tool for transformative change. As citizens’ expectations evolve and the need for rapid, accurate information becomes more pronounced, state and local governments seek smarter ways to keep pace. Enter Retrieval-Augmented Generation (RAG) and large language models (LLMs)—the dynamic duo powering the next wave of efficient state and local government services.
AWS solutions for use cases across public sector industries
Companies across all industries face a multitude of challenges in their operations, many of which can be addressed through innovative uses of technology. By implementing use cases tailored to their specific needs, organizations can drive efficiencies, mitigate risks, and create competitive advantages. This comprehensive post explores some high-impact use cases with the corresponding Amazon Web Services (AWS) solution that can transform public sector industries.
Reducing transcription costs by 60% using AWS AI/ML services
The process of transcribing video or audio files has traditionally been manual and time-consuming. Beyond the need for accurate and cost-effective transcriptions, attorneys have determined a need for timestamping capabilities, speaker identification, search and replace capabilities, the highlighting of specific words, editing capabilities, and most importantly, shortened turnaround times.To address the need for quicker and more accurate transcription of audiovisual files, the Contra Costa County (CCC) District Attorney’s (DA) Office reached out to Amazon Web Services (AWS) and partnered with AWS Partner ScaleCapacity to develop a solution that would automate the manual transcription process. Read this post to learn more.
AWS joins global leaders in New York during United Nations General Assembly
While global leaders convened for the 79th session of the United Nations General Assembly (UNGA) in New York, Dave Levy, Amazon Web Services (AWS) Vice President of Worldwide Public Sector, met with business leaders, diplomats, and civic organizations to discuss AWS’s innovative approach to tackling global challenges. He delivered a fireside chat at the Concordia Annual Summit, and joined the Atlantic Council for two panels, where he shared AWS’s generative artificial intelligence (AI) and cloud services as key examples of how the company harnesses technological advancement to drive global impact. Read this post to learn more.
Impacting every citizen and utilizing generative AI to enhance US federal civilian agencies: Insights from AWS executive Christian Hoff
Christian Hoff, director of federal civilian sales at Amazon Web Services (AWS) Worldwide Public Sector (WWPS), is an inspirational and humble trailblazer who has built a lifelong career of serving others and improving lives. He’s thrived through a multifaceted lens as a Lieutenant Colonel (Retired), mentor and mentee alike, and father. Read this post and listen to the latest episode of the AWS Behind the Cloud vodcast for Hoff’s professional and personal insights.
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.