Gartner voorspelt dat helft van clouddatacenters tegen 2025 robots met AI-mogelijkheden zal inzetten

By 2025, half of cloud data centres will deploy advanced robots with arti­fi­cial intel­li­gence (AI) and machine learning (ML) capa­bi­li­ties, resulting in 30% higher operating effi­ci­ency, according to Gartner, Inc. 

“The gap between growing server and storage volumes at data centres, and the number of capable works to manage them all is expanding,” said Sid Nag, research vice president at Gartner. “The risk of doing nothing to address these short­co­mings is signi­fi­cant for companies.

“Data centre opera­tions will only increase in complexity as orga­ni­sa­tions 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 Centres

Most of the work that takes place in a data centre is tedious, complex and repe­ti­tive. Examples include capacity planning, rightsi­zing virtual machine and container envi­ron­ments, or guaran­teeing the efficient use of resources to avoid “cloud waste” for enter­prises and their buyers.

These are all areas where robots excel. “Data centres are an ideal sector to pair robots and AI to deliver a more secure, accurate and efficient envi­ron­ment that requires much less human inter­ven­tion,” said Nag.

There are four areas in which robots will be the most impactful to auto­ma­ting data centres over the next five years:

1. Sever upgrades and main­tenance: Once servers are phased out, the task of decom­mis­si­o­ning and dest­roying drives can be accom­plished faster and more effi­ciently by indu­strial robots than humans. This is espe­ci­ally true for companies that conduct mass upgrades frequently, for example any cloud provider.
2. Moni­to­ring: Robot sensor probes provide much more granular server rack tempe­ra­ture data without the need to install any invasive physical hardware. Robots used for remote moni­to­ring can also be utilised to collect other data, such as sound and images to detect any irregularities.
3. Data centre security: Main­tai­ning a digitally and physi­cally secure data centre facility is a top priority for all data centre companies. Robots can provide a layer of physical security through a range of different capa­bi­li­ties including human tempe­ra­ture checks via heat sensors or license plate recog­ni­tion for parking facilities.
4. AI/​ML in cloud opera­tions: In conjunc­tion with robots, modern AI- and ML-enabled tech­no­logy enables the moni­to­ring and mana­ge­ment of IT processes in the data centre. Users of this tech­no­logy, such as site reli­a­bi­lity engineers, can interact and commu­ni­cate with the given platform through natural language. These platforms are capable of learning from past situ­a­tions to improve effi­ci­ency in future instances.

“While robots have already been leveraged across indu­stries such as auto­mo­tive and manu­fac­tu­ring, oppor­tu­ni­ties across data centres have been over­looked,” said Nag. “IT leaders can steer the intel­li­gent auto­ma­tion of cloud data centre 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.”