We recently discussed where enterprises are putting their workloads. In line with almost everyoneβs research, Uptime has found a very strong move of workloads to the public cloud, much of which then ends up in running, wholly or in part, inβ¦
An artificial intelligence (AI) strategy for data center management and operation requires more than just data and some very smart humans. Selecting specific use cases and understanding the types of data that influence AI outcomes β and thenβ¦
It is still very early days, but it is clear that artificial intelligence (AI) is set to transform the way data centers are designed, managed and operated β eventually. There has been a lot of misrepresentation and hype around AI, and itβs notβ¦
Data center infrastructure management software is widely considered essential for running modern, flexible and efficient data centers β but it is also notoriously difficult to select and deploy.
One of the more intriguing results of the Uptime Institute Global Data Center Survey 2019 concerned energy efficiency. For years, data centers have become ever more efficient, with power usage effectiveness (PUE) ratings across the industry (β¦
Artificial intelligence (AI) is being used in data centers to drive up efficiencies and drive down risks and costs. But it also creates new types of risks. This is one of the findings from Uptime Intelligence research report 25, Very smart dataβ¦
The increasing adoption of AI signals the beginning of a major shift in how data centers will be managed and operated. This Uptime Institute Intelligence report overviews data center AI technology and its requirements, use cases, risks and costs.
Uptime Institute Research looks at smart energy, including its potential for changing mission-critical IT as well as many of the enabling technologies.