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.
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…
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.
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.
The propensity to confidently give false information likely disqualifies generative AI from operational decision-making. However, this type of AI, with human supervision, could enhance other aspects of data center management.
The Uptime Institute Global Data Center Survey 2023 shows that trust in artificial intelligence as a tool capable of making operational decisions has fallen sharply year on year. What is causing this reaction?
The Uptime Institute Global Data Center Survey highlights the experiences and strategies of data center owners and operators in areas of resiliency, sustainability, efficiency, staffing, cloud and innovative technologies.
The topic of artificial intelligence (AI) has captured the public’s imaginations, and now barely a week goes by without reports of another breakthrough. Among the many, sometimes dramatic predictions made by experts and non-experts alike is the…
This report examines multiple applications of AI and automation within data center infrastructure management (DCIM) software. Greater automation can result in improved efficiency and free up staff to focus on more complex tasks.
Most new technologies go through a hype cycle: A spark of interest and early investment is followed by a surge of hype, then a crash of expectations as reality sets in. Only over time and a period of work, absorption and adjustment does the…
As artificial intelligence (AI) becomes increasingly sophisticated, one of its most anticipated benefits is a transformative reduction in the data center workforce, by augmenting the abilities of workers and relieving these workers of more…