In 2025, half the cloud-based data centers will use advanced robots equipped with AI (AI) as well as machine learning (ML) capabilities that will lead to 30% more efficient operation, according to Gartner, Inc.
“The gap between growing server and storage volumes at data centers, and the number of capable works to manage them all is expanding,” said Sid Nag, the research vice president of Gartner. “The possibility of doing nothing to correct these weaknesses is significant for businesses.
“Data center operations will only increase in complexity as organizations move more diverse workloads to the cloud, and as the cloud becomes the platform for a combinatorial use of additional technologies such as edge and 5G, to name a few.”
Robots Are Ideal for the Tedious and Repetitive Nature of Data Centers
The majority of work performed in the data center is boring, complicated, repetitive, and complex. For instance, capacity management is rightizing containers and virtual machines as well as ensuring efficient use of resources in order to keep out “cloud waste” for enterprises as well as their purchasers.
All of these are areas where robots are able to excel. “Data centers are an ideal sector to pair robots and AI to deliver a more secure, accurate and efficient environment that requires much less human intervention,” Nag added. Nag.
Four areas where robots are most effective in making data centers more efficient over five years to come:
Upgrades and Maintenance for Sever When servers are eliminated, the process of removing and degrading drives is accomplished more quickly and with greater efficiency with industrial robots rather than human beings. This is particularly applicable to companies that carry out regular upgrades, like, for instance, any cloud service provider.
Monitoring Robot sensor probes offer more precise server rack temperature information without the requirement to install physical hardware that is invasive. Robots to monitor remotely can be used to gather other information, like images and sounds, to find any anomalies.
Security of data centers Maintaining a digitally physical and safely secure data center is the top goal for all data center businesses. Robots can provide an additional layer of physical security by utilizing a variety of capabilities, including human temperature monitoring using heat sensors or identification of the license plate to park facilities.
AI/ML cloud operation: In conjunction with robots and other machines, the most modern technology that is ML-enabled facilitates the management and monitoring of IT processes within the cloud data center. People who use this technology, for instance, Site reliability experts, can communicate and interact with the platform using natural languages. These platforms can learn from previous experiences to increase effectiveness in the future.
“While robots have already been leveraged across industries such as automotive and manufacturing, opportunities across data centers have been overlooked,” Nag said. Nag. “IT leaders can steer the intelligent automation of cloud data center operations and processes to create key differentiators for their enterprises, such as increased uptime and meeting SLAs for their cloud offerings, which will become more of a reality through the use of robots.”
“Emerging Technologies and Trends: Use of Robots and Artificial Intelligence/Machine Learning for Cloud Data Center Operations.” Find out which new technologies will help you generate ROI from this report from Gartner Emerging Technologies Roadmap.
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