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Yale Unlocks the Transformative Impact of Clinical Data with Disaggregated Architecture and AI

Publisher IDC
Published Aug 22, 2022
Length 8 Pages
SKU # IDC17366539

Description

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.

Table of Contents

8 Pages
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
How Do Licenses Work?
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