Category: Healthcare

Data is an organization’s critical asset, which is why safeguarding it against ransomware attacks, natural disasters, emergencies, or technical failures is a top priority. Legacy data storage, such as tape, makes sharing and protecting data costly and time consuming. AWS released a series of educational webinars and whiteboarding videos that discuss how to raise the bar on data protection in the AWS Cloud.

From accelerating genomics research to addressing the teacher shortage to improving commutes, artificial intelligence (AI) and machine learning (ML) are fueling digital transformation in the government, education, nonprofit, and healthcare sectors. Austin Tanney, head of AI at Kainos, shared his ML learnings and where he sees the technology going.

Cloud-based technology is supporting healthcare organisations and governments in response to the evolving COVID-19 situation. Healthcare providers and professionals, governments, and patients around the world are facing an unprecedented challenge. Here are some of the ways that these health-focused organisations use cloud-based technology to help improve patient services and outcomes.

Organizations across the globe are using advanced analytics and data science to predict and make decisions. They are finding ways to use their vast and diverse data stores to predict the best place to put their next retail store, what products to recommend to customers, how many employees they need for peak hours of operation, and how long a piece of machinery has until it needs maintenance. Public sector organizations in government, education, nonprofit, and healthcare are looking to use data to advance their missions too. Learn how.

Cromwell is a workflow management system from Broad Institute of MIT and Harvard, a Cambridge, Massachusetts-based research institute that leverages the power of genomics to help us understand biology as well as treat human disease. Cromwell aims to facilitate scientific workflows for genome analysis. It enables genomic researchers, scientists, developers, and analysts to efficiently run their experiments, without deep expertise in computing capabilities. And it’s now on AWS.