Your privacy as a member is important to us. Recently, rules surrounding privacy have changed, so we have created this manifest for you to read and accept.
It is not possible for you to be classed as an authentic member of the DCA unless you accept the terms, that includes but is not limited to the GDPR statement below.
Please read the privacy policy here.
Keysource, the leading global data centre specialist, is launching a new facilities maintenance service which utilises the latest machine learning/artificial intelligence technology to help organisations to transform their edge operational management strategy. KAI (Keysource Artificial Intelligence) has been designed to enable companies to make data led decisions around key issues such as reducing capital expenditure and unplanned downtime or gaining greater control over their edge infrastructure.
Following a comprehensive audit of a company’s estate, the Keysource critical operations team will deploy the latest sensor technology to create a digital fingerprint of the infrastructure. This is then used to outline ‘normal’ behaviour and highlight changes in state enabling the identification of these up to 9 months in advance. With this information companies are able to better plan and coordinate repairs or replacements around normal business.
It will enable businesses to: remove the guesswork from lifecycle replacements; reduce operational spend, by coordinating repairs early, in conjunction with planned visits; facilitate early repairs before they cause further damage; and provide the same consistent first in class critical infrastructure service anywhere in the world.
Richard Clifford, Head of Innovation at Keysource, said: “It is a challenging time for our industry in many ways and there has been a lot of talk about the art of the possible regarding AI. At Keysource we are bringing a solution to the market that combines best in breed technology with our 40+ years’ critical infrastructure experience to make a real difference to Data Centre Operators today. KAI will also look to help overcome the skills shortage that has been exacerbated by global growth in edge deployments, driven by the demands of our society.”