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.
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 — but it will rise quickly as adoption increases. How far generative AI will go remains unclear.
This update examines the differences between machine learning and traditional software development and outlines the terms and definitions that may help digital infrastructure operators to understand the role and impact of AI.
In this Webinar, the Uptime Intelligence team looks beyond the obvious trends of 2024 and identifies some of the latest developments and their associated limitations.
The industry is touting AI as a highly useful tool for data center operations. In this Webinar, Uptime executives discuss the most appropriate AI systems for data center controls and efficiency, along with what works best - and why.
Pressure to improve data center efficiency and sustainability is driving interest in artificial intelligence (AI) technologies. Several startups aim to deliver new capabilities in IT power management and cooling optimization.
Uptime Intelligence looks beyond the more obvious trends of 2024 and identifies some challenging issues. Strong IT demand, high-density IT systems and tough sustainability requirements will drive a new wave of investment.
The latest Uptime Intelligence research agenda includes a list all published and planned reports from January 2024 to August 2024, and is focused on Uptime Intelligence primary coverage areas: 1) power generation, distribution, energy storage; 2)…
A new approach to data center management, proposed by data scientists and statisticians, looks to augment the functionality of tools like BMS and DCIM software by focusing on data, not equipment.
Results from the Uptime Institute IT and Power Efficiency Survey 2023 suggest that many organizations may struggle to meet regulatory requirements for energy, carbon and IT life cycle tracking.