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Predictive Maintenance of Cash Dispenser Using a Cognitive Prioritization Model
In this technical paper, we address the issue of predicting cash dispenser (addressed as 'Device' henceforth) failure by harnessing the power of humungous data from service history, logs, metrics, transactions, and plausible environmental factors. This study helps increase device availability, enhanced customer experience, manage risk & compliance and revenue growth. It also helps reduce maintenance cost, travel cost, labour cost, downtime, repair duration and increase meantime betweendoi:10.31803/tg-20210205105921 fatcat:genzrdehcjfv7l7ggt3iahiufi