Category: Amazon EC2

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.

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.

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.

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.

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.

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. 

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.

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.

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.

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.