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 eq...
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 ...
The 14th edition of the Uptime Institute Global Data Center Survey highlights the experiences and strategies of vendors, product suppliers, engineering firms, and consultants in the areas of data center spending, customer challenges, supply chains, D...
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.
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.
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.
This session describes the questions organizations need to answer around technology roadmaps, market growth and workload requirements to effectively plan the data center builds of the near future.
Anthony Sbarra
Laurie Williams
Max Smolaks
John O'Brien
Daniel Bizo
Jay Dietrich
Andy Lawrence
Jacqueline Davis
Douglas Donnellan
Todd Traver
Amro Almashharawi
Antonio Piraino