Excited by the potential time and money savings, many healthcare organizations want a deeper understanding of what artificial intelligence (AI) and machine learning (ML) technology from public cloud providers could do for them. This research, a follow-up to KLAS’ 2021 report on Amazon Web Services (AWS), examines the experiences of 13 payer and provider organizations using AWS AI/ML offerings. This study is meant to help organizations considering AWS understand what technologies are being used, the overall customer experience, and the impact of these offerings. This report also shares AWS clients’ insights into their selection process and their perceptions of Google Cloud Platform (GCP) and Microsoft Cloud (both of which will be the focus of future reports). To learn how KLAS defines AI and ML, see this report.
Home
»
Industry - AWS for Health
»
A Deeper Look at Artificial Intelligence and Machine Learning Capabilities
Other content in this Stream
Accelerating the future of personalized healthcare
For healthcare organizations, the challenge of providing patient-centered care amid ever-increasing costs has never been greater.
Driving better patient and business outcomes with omics data
Healthcare and life science organizations are turning to AWS to increase agility and speed and economically grow operations to meet increased demand.
Meeting the challenges of healthcare IT
How cloud technology is making personalized healthcare possible