AWS Public Sector Blog
Category: Amazon EC2
The Institut Pasteur is creating a searchable DNA database of all life on Earth using AWS
Where will the next pandemic-causing virus come from? The answer to this pressing question is locked away in the immense diversity of DNA carried around by life on Earth. A research team located at the Institut Pasteur, a Paris-based leading international research organization, plans to break into that vault of knowledge with IndexThePlanet. Read this post to learn more about the project, which aims to index the DNA of all living organisms, identify previously unknown viruses species, and create a DNA search engine.
How to use AWS Wickr to enable healthcare workers to interact with generative AI
Amazon Web Services (AWS) Wickr is an end-to-end encrypted messaging and collaboration service with features designed to keep internal and external communications secure, private, and compliant. In this post, we present an architecture that uses the Wickr messaging solution for protected communication with a generative AI backend system, which uses an existing open source project: the AWS GenAI Chatbot. Read this post to learn more.
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.
Elevating credit unions: Transforming core banking on the AWS Cloud
Credit unions play a crucial role in communities by providing a diverse range of financial services driven by their members’ needs. These services, supported by core banking applications, form the backbone of credit union operations. Traditionally, credit unions use legacy systems for their core banking applications, such as lending, payments, and deposits. But these systems are monolithic, expensive, and lack open architecture, impacting credit unions’ abilities to deploy changes based on market demands. In this digital age, cloud computing offers a transformative solution, and as we will explain in this post, Amazon Web Services (AWS) stands at the forefront.
Frugal architecture in action: The Urban Institute innovates with R and Serverless on AWS
Nonprofit organizations are typically frugal and responsible. They strive to improve the human condition in innumerable ways, yet they cannot raise capital like a commercial organization, so they have to make the most of the resources they have. They apply that frugal approach to IT: they build and operate only what they need to pursue their mission, and constantly innovate both to meet mission objectives and optimize cost. Even with these constraints, nonprofits aspire to solve some of the world’s biggest problems, and often, they use innovative IT architectures on Amazon Web Services (AWS) to do it.
Accelerating data processing for IRCC with Amazon EC2 instances
Immigration, Refugees, and Citizenship Canada (IRCC) faced a significant challenge: the need to perform complex fuzzy string matching across two different datasets. IRCC embarked on a transformative project that redefined its data processing capabilities and showcased the power of cloud computing in overcoming substantial data challenges. Instead of dealing with months of undifferentiated heavy lifting activities, IRCC successfully used Amazon Elastic Compute Cloud (Amazon EC2) instances to complete the work in a only few days. 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.
Documenting the use of Amazon EC2 Auto Scaling groups in DoD
Many Amazon Web Service (AWS) customers in regulated environments such as the U.S. Department of Defense (DoD) struggle to gain security approval to take advantage of the scaling of Amazon Elastic Cloud Compute (Amazon EC2) using its Auto Scaling capabilities. This is often attributed to configuration management, total asset inventory, compliance with agency third-party security tools, and agency authorization documentation. This post provides AWS recommended best practices for implementing EC2 Auto Scaling in DoD environments.
Reimagining person-centered health and care with cloud-enabled technologies
Amazon Web Services (AWS) advanced technologies can help reimagine the way healthcare entities deliver person-centered care. Technologies such as generative artificial intelligence (AI) and the ability to manage petabytes (PB) of data help companies achieve actionable insights that improve care. They can drive the ability to build new care models, improve the human experience in their health and care process, and enable clinical professionals to practice at the top of their licenses. In this blog post, I describe some ways AWS helps companies reimagine the delivery of health and care.
Harnessing the power of generative AI in the classroom and beyond
Can generative artificial intelligence (AI) help in addressing complex societal issues, such as the equality of access to education? Despite efforts from educators and policymakers, students with additional needs and those who come from socio-economically deprived backgrounds continue to consistently perform worse than other groups. Student performance gaps stubbornly refuse to close while the demands placed on teaching professionals by time-consuming administrative tasks and the challenges associated with lesson preparations continue to increase. Generative AI presents educators with an opportunity to change things.