Category: Amazon Simple Storage Service (S3)

In this post, we explore how healthcare and life sciences organizations can embrace the data mesh and data as a product (DaaP) principles to unlock the full potential of their health data, drive faster and more efficient drug development, and ultimately, bring life-saving treatments to patients more quickly. We also showcase the Amazon Web Services (AWS) services that support the journey towards effective data management and alignment with data mesh principles.

When government agencies choose Amazon Web Service (AWS) to store data, they choose to take advantage of inheriting the strictest security controls and standards. In addition, AWS services offer a unique opportunity to enhance networking and security approaches, ensuring safe and resilient data transfer mechanisms. This blog post provides guidance towards data sharing among government agencies, offering prescriptive approaches and best practices for implementing secure data exchange solutions using AWS services.

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.

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.

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.

Transit authorities have to maintain the location and schedule of large numbers of vehicle fleets on a daily basis. Most commonly, GPS coordinates are used to track vehicle location and transportation route. GPS coordinates often have anomalies that can contaminate location reporting. Additionally, if a vehicle takes a detour, it will offset public transportation schedules. Both cases impact the riders negatively. Keeping track and getting notified is a challenge. In this post, we look into an anomaly detection mechanism for public transportation using Amazon Web Services (AWS) offerings.

In April 2020, during the COVID-19 pandemic, while frontline workers were under immense pressure, three experienced live event professionals wanted to thank all of the UK’s National Health Service (NHS) workers and paid care workers. They combined their extensive experience and knowledge to launch the not-for-profit charity Concerts for Carers, whose mission is to promote the mental health and well-being of all NHS workers and paid caregivers and to provide them with free tickets to live events in the UK as an ongoing gesture of thanks. This post highlights how they’ve used Amazon Web Services to meet their mission.

The Prosper Africa Tech for Trade Alliance is a collaboration uniting leading American and African tech companies behind the mission of accelerating e-commerce and digital trade in Africa. The recently announced collaboration between Amazon Web Services (AWS) and Choppies, a leading supermarket chain in Botswana, exemplifies the Alliance’s model of impact-oriented public-private partnerships. This post highlights the AWS-powered deployment of Choppies’ state-of-the-art Farmer’s app across its supplier network.

The Centers for Medicare & Medicaid Services (CMS) recently enabled states to extend Medicaid coverage to eligible incarcerated individuals, with hopes of ensuring continuity of care upon release, reducing the risk of relapse, and encouraging better health management. To help states begin benefitting from this new CMS policy, Amazon Web Services (AWS) offers a suite of data storage, telehealth, analytics, and reentry services. In this post, we break down four specific areas where AWS services—and AWS Partners—can help.

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.