Category: Amazon Simple Queue Service (SQS)

AlayaCare, a Canada-based health technology organization founded in 2014, offers a platform for home and community care organizations. The cloud-based platform provides an end-to-end solution for care providers, including back office functionality, client and family portals, remote patient monitoring, and mobile care worker functionality. AlayaCare aims to help care providers by arming them with the technology and data insights they need to deliver personalized care. Using AWS, AlayaCare is building their vision of the future of in-home and virtual care.

Scientists at NC State University’s North Carolina Institute for Climate Studies (NCICS) work with large datasets and complex computational analysis. Traditionally, they did their work using on-premises computational resources. As different projects were stretching the limits of those systems, NCICS decided to explore cloud computing. As part of the Amazon Sustainability Data Initiative, we invited Jessica Mathews, Jared Rennie, and Tom Maycock to share what they learned from using AWS for climate research. As they considered exploring the cloud to support their work, the idea of leaving the comfort of the local environment was a bit scary. And they had questions: How much will it cost? What does it take to deploy processing to the cloud? Will it be faster? Will the results match what they were getting with their own systems? Here is their story and what they learned.

The Intelligence Advanced Research Projects Activity (IARPA) Machine Intelligence from Cortical Networks (MICrONS) program seeks to revolutionize machine learning by better understanding the representations, transformations, and learning rules employed by the brain. We spoke with Dean Kleissas, Research Engineer working on the IARPA MICrONS Project at the Johns Hopkins University Applied Physics Laboratory (JHU/APL), and […]