Yale Unlocks the Transformative Impact of Clinical Data with Disaggregated Architecture and AI
This IDC Perspective discusses the technological infrastructure and the problems that were initially encountered, and how NetApp developed a technological solution to the problem. The document also includes a brief discussion of the solution's hardware technologies and how AI assisted in resolving specific COVID-19-related issues. "Yale and NetApp have successfully identified the problem's root cause and developed technology solutions. Yale handled data-related issues extraordinarily well, particularly in unforeseeable situations such as the COVID-19 pandemic," said Raghunandhan Kuppuswamy, research manager, AI and Automation Software research at IDC.
Please Note: Extended description available upon request.
- Executive Snapshot
- Situation Overview
- AI in Healthcare
- Yale School of Medicine and Its Problems
- Technology Setup Pre-NetApp Era
- NetApp Was the First Choice
- Disaggregated Architecture Design
- How Did Yale Benefit from This Solution?
- Advice for the Technology Buyer
- Learn More
- Related Research
- Synopsis
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