Results from Uptime Institute's 2024 Artificial Intelligence (AI) and Software Survey (n=956) outline the role of AI in data center facilities, including workloads, as well as the practical and cost considerations of AI. It also explores other…
Results from Uptime Institute's 2024 Artificial Intelligence (AI) and Software Survey (n=956) outline the role of AI in data center facilities, including workloads, as well as the practical and cost considerations of AI. It also explores other…
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,…
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.
Uptime Institute's 2024 Data Center Maintenance Survey benchmarked maintenance practices among data center operators to help organizations improve performance when it comes to maintenance practices
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.
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 — as will emerging AI tools — but the OT air-gap should not be bridged lightly.
Uptime Institute's 2nd edition of the Data Center Security Survey (n=927) explores important data center cybersecurity issues, as well as the information technology (IT) and operational technology (OT) used to run data centers.The attached data…
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?
Uptime Institute's 2024 Data Center Maintenance Survey benchmarks maintenance practices among data center operators and sets to help organizations improve performance when it comes to maintenance utilizing in-house employees, third-parties, and/or…
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.
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 data files…