AWS Public Sector Blog
Category: Artificial Intelligence
Streamlining digital transformation in German healthcare with AWS
Healthcare organizations worldwide are leveraging Amazon Web Services (AWS) and partner solutions to modernize, transform, and innovate their businesses. Ensuring the availability and security of critical applications is paramount. For example, two renowned German medical facilities, Fachklinikum Mainschleife and Max Grundig Klinik, needed to modernize their IT infrastructure to comply with stringent regulatory requirements outlined in the country’s Law for Accelerating the Digitalization of Healthcare (DigiG). Reliable and compliant service offerings from AWS enabled the medical facilities to provide reliable access to essential systems.
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.
Analyzing climate risk models on AWS to prevent future food insecurity in Nigeria
The Climate Risk Research Foundation is a nonprofit that supports data-driven climate research. Their goal is to help decision-makers identify the potential impact and magnitude of climate-related risks and develop possible mitigation strategies. We chatted with the organization’s chairman, Brendan Reilly, to learn how its Sustainable Africa Initiative (SAI) is empowering agricultural experts in Nigeria to analyze climate risk models on Amazon Web Services (AWS) to prevent future food insecurity in their local communities.
U.S. Government officials, allies, and private sector leaders discuss responsible AI innovation
On June 27, 2024, Amazon Web Services (AWS) and the Atlantic Council Geotech Center co-hosted an event, “An Allied Approach in the Age of AI,” during the annual AWS Summit Washington, DC. The event convened senior U.S. Government (USG) officials, allied nations’ diplomats, and private sector leaders to discuss approaches to shape the global future of responsible artificial intelligence (AI). This post is a recap of the event, which covered a range of topics including forging effective public-private partnerships, aligning AI governance strategies with allies, debating opportunities and challenges in the age of AI innovation, and building responsible, resilient AI systems.
EdTech innovator Sibme, powered by AWS, provides educators with AI-based instructional feedback
As a teacher with the KIPP charter school network in Houston, Texas, Dave Wakefield knew there had to be a better way for educators to gain insightful feedback on their instruction. Traditionally, educators who wanted feedback on their teaching either had to have someone visit their classroom or film themselves and then send that video to a mentor or peer for review. In 2013, Wakefield founded education technology (EdTech) company Sibme as a way to use technology, powered by Amazon Web Services (AWS), to help educators access quicker and more reliable feedback.
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).
21 new or updated datasets available on the Registry of Open Data on AWS
The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. Through this program, customers are making more than 100 petabytes (PB) of high-value, cloud-optimized data available for public use. This past quarter, AWS released 21 new or updated datasets. What will you build with these datasets?
7 reasons to attend the 2024 AWS IMAGINE conference for education, state, and local leaders
Leaders in education and state and local government know that technology is changing at a rapid pace. Generative artificial intelligence (AI) and other advanced technologies present more opportunities for institutions and agencies to make data-driven decisions, accelerate research, create personalized and convenient student and citizen services, automate processes, and more. But how can you turn these opportunities into reality? That’s the central theme of this year’s AWS IMAGINE conference for education, state, and local leaders presented by Amazon Web Services (AWS).
Satellite mission operations using artificial intelligence on AWS
Cognitive Space is a leading Amazon Web Services (AWS) Partner delivering intelligent automation to satellite constellation operations using the CNTIENT platform. The system uses AWS-powered artificial intelligence (AI) decision making to handle highly complex and dynamic satellite tasking requirements, and demanding mission requirements. This blog post provides technical guidance for building and operating mission operation centers (MOCs) on AWS.