Pulling reliable power consumption data from IT is increasingly important for operators. Although third-party software products offer promise, significant roadblocks still hinder adoption.
Trust in AI as a tool for data center operations has declined sharply in the past three years. It is possible to control for the factors that drive mistrust β and see better outcomes when employees interact with AI-based systems.
The data center industry's largest and most influential survey results are in! Join us as we discuss the 14th Annual Uptime Global Data Center Survey 2024 which reveals an industry that is expanding, and is also planning for major technological,β¦
The 14th edition of the Uptime Institute Global Data Center Survey highlights the experiences and strategies of data center owners and operators in the areas of resiliency, sustainability, efficiency, staffing, cloud and AI.
Many data center operators are unaware that digitizing process documentation can impact staff performance. Understanding human psychology enables team leaders to create more effective digital versions of procedural documents.
Although there is still uncertainty around the rate of AI adoption, many organizations are pushing ahead to avoid being left behind. However, behind this enthusiasm, there are six issues that operators face when hosting AI.
Many data centers struggle to achieve maximum capacity and optimal cooling, resulting in troublesome hot spots. Advances in cooling optimization software have addressed this complexity and could be the answer.
The 14th edition of the Uptime Institute Global Data Center Survey highlights the experiences and strategies of data center owners and operators in the areas of resiliency, sustainability, efficiency, staffing, cloud and AI. The attached dataβ¦
Data center infrastructure management (DCIM) software is evolving and improving. This report discusses where DCIM has made most progress, and why it is now considered a viable and worthwhile investment.
Operators often resist giving third parties access to OT data to limit vulnerabilities. Nevertheless, some colocation customers require this access β as will emerging AI tools β but the OT air-gap should not be bridged lightly.
While EOPs are intended to help staff address events that can lead to downtime, many are difficult to follow in an emergency. Applying cognitive psychology concepts during their creation can improve comprehension and reduce human error.
Data center managers are squeezed between complexity arising from digital innovation and the need for secure and reliable service delivery. Is it possible to minimize risk while enabling business innovation?
This report outlines the characteristics of machine learning (ML) applications, describes production use cases for ML-based software in data center M&O, and profiles several vendors offering AI-based functionality in their products.
Data center operators face expanding information and key performance indicator reporting requirements. Standard accounting practices and data exchange processes will help enable the efficient exchange of information.
Preliminary calculations by Uptime Intelligence suggest the initial impact of generative AI on global data center power use is low β but it will rise quickly as adoption increases. How far generative AI will go remains unclear.