New sensor and machine learning technology is working to improve efficiencies across Atlanta’s sprawling network of city buildings and infrastructure, in a move to reduce greenhouse gases, energy usage and better predict needed maintenance. The city has partnered with IBM Maximo, an enterprise asset management software suite, to outfit predictive maintenance technology for major pieces of mechanical equipment like generators, pumps and heating and air conditioning infrastructure. Several of these pieces of equipment had surpassed their useful life, said Remy Saintil, commissioner for Atlanta’s Department of Enterprise Asset Management. “And as we replace
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