AWS Public Sector Blog
Category: Amazon Bedrock
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.
Japan’s Digital Agency accelerates government cloud migration with AWS generative AI–powered architecture reviews
In September 2021, Japan took a leap with the establishment of its Digital Agency and the creation of the government cloud. With the goal to build a society in which no one is left behind by improving convenience, health, and happiness through digital technology, Japan’s Digital Agency represents the nation’s bold commitment to digital innovation across government and society. In June 2024, two cloud engineers from the Digital Agency, Kazuma Takeda and Shinichi Nishihata, shared their process and learnings at the Amazon Web Services (AWS) Summit Japan, the largest AWS learning event in the country. For those who were unable to attend or watch virtually, this post summarizes their presentation.
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.
National framework for AI assurance in Australian government: Guidance when building with AWS AI/ML solutions
As Australia moves forward with a national framework for the assurance of artificial intelligence (AI) in government, Amazon Web Services (AWS) is committed to helping our customers implement AI solutions that align with Australia’s AI Ethics Principles. This post outlines how AWS tools and services can support government agencies in adhering to Australia’s AI Ethics Principles when developing AI and machine learning (ML) solutions. The post includes a focus on implementation to help Australian governments responsibly innovate whilst maintaining cloud-based agility.
Unlocking the power of generative AI: The advantages of a flexible architecture for foundation model fine-tuning
A flexible architecture is a crucial factor in unlocking the full potential of generative artificial intelligence (AI) solutions. In this post, we cover an Amazon Web Services (AWS) Cloud infrastructure with a modular architecture that enables you to explore and take advantage of the benefits from different open source foundation models in a flexible way. This solution provides several benefits.
SoftwareOne boosts developer efficiency and streamlines code reviews using Amazon Bedrock
SoftwareOne, an Amazon Web Services (AWS) Premier Tier Services Partner and a global provider of end-to-end software and cloud technology solutions, addresses code review challenges with its automated solution, SummarAIze, powered by the generative artificial intelligence (generative AI) capabilities of Amazon Bedrock. This post provides an overview of SoftwareOne’s approach to building SummarAIze and its impact on the software development process.
Powering education, state, and local leaders: Insights from the AWS IMAGINE keynote
Kim Majerus, vice president of global education and US state and local government for worldwide public sector at Amazon Web Services (AWS), led the keynote address at the AWS IMAGINE conference for education, state, and local leaders. Majerus shared how AWS customers are innovating for their communities with the cloud and announced new public sector initiatives from AWS. Two special guests joined Majerus on stage to share how a culture of innovation is transforming the student and citizen experience at their organizations. Read this post for some of the highlights from the AWS IMAGINE conference keynote.
Responsible AI for mission-based organizations
Machine learning (ML) and artificial intelligence (AI) are transformative technologies, enabling organizations of all sizes to further their mission in ways not previously possible. But, it is critical to think responsibly about these technologies so that all users are treated fairly, data is appropriately protected, and individuals can make informed choices about consent. In this post, we discuss responsible AI and how you should think about your workloads. This approach will help ensure your AI systems are fair, transparent, and secure.
Transforming electronic case reports with generative AI: Unlocking faster public health responses
For years, public health agencies have relied on paper-based case report forms to supplement the electronic laboratory reports (ELRs) they receive for reportable diseases. While ELRs provide positive test results, the accompanying case reports give public health agencies critical clinical, demographic, and risk factor data needed for effective disease investigation and response. However, the sheer volume of COVID-19 cases quickly overwhelmed this manual, paper-based process. Prior to the pandemic, the Office of the National Coordinator for Health IT (ONC) and the Centers for Disease Control and Prevention (CDC) developed standards for an electronic case report (eCR) form that could be automatically sent to public health agencies from providers’ electronic health records (EHRs).