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.
Healthcare and life science organizations are turning to AWS to increase agility and speed and economically...
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十多年來，各種規模與領域的組織都利用 AWS 並透過可擴展、安全且具有成本效益的解決方案，加速將原始定序資料轉化成可付諸行動的洞察。
For healthcare organizations, the challenge of providing patient-centered care amid ever-increasing costs has never been greater.
Healthcare and life science organizations are turning to AWS to increase agility and speed and economically grow operations to meet increased demand.
How cloud technology is making personalized healthcare possible