Through this partnership, CBRE will deploy Litbit’s AI technology to magnify the reach and availability of its integrated data center operations teams. CBRE will firstly train a Litbit AI persona named “REMI” (Risk Exposure Mitigation Intelligence) on the normal operating conditions of its data centre facilities and equipment globally, which can then be utilized by CBRE’s expert teams for predictive maintenance and rapid problem diagnosis.
With this move, CBRE is taking a decisive step to lead in the data centre AI space by creating the world’s largest actionable AI repository of machine operating data.
Litbit has been working with CBRE Data Centre Solutions’ Chief Reliability Officer, Mike Doolan, a Certified Reliability Leader, to drive innovative and transformational maintenance solutions into the 800+ data centre locations that CBRE currently manages to maximize site availability, minimise risk and optimise costs.
REMI will run both in the cloud via smartphone and on the edge via permanently deployed computing devices. It will aggregate the knowledge of CBRE’s worldwide service experience, thousands of technicians, and millions of machines into a single system. REMI will provide improved coverage for manned locations and basic coverage in sites that are not currently viable for human staffing.
CBRE Data Centre Solutions President, Paul Saville-King commented, “Artificial intelligence is transforming industries in all parts of the economy. CBRE has always had a commitment to using technology to provide better results for our customers at optimal cost to value, and we believe this technology will allow us to further this agenda. The idea that expert knowledge of all the facilities, assets and equipment we manage can be in the back pocket of every CBRE technician is exciting and revolutionary.”
Scott Noteboom, CEO of Litbit, Inc. commented, “CBRE is the perfect example of a company whose operating model can be transformed by artificial intelligence. Their global scale, varied client base, and mission critical remit mean that they need complete flexibility of implementation, massive scalability, and a completely noninvasive way of implementing AI.”
