Using Machine Data to improve the economics of EV charging stations

Presented by

Carlos Quezada, Glassbeam and Vipul Gore, Gridscape

About this talk

Mining Machine Data that gets sent from Electrical Vehicle (EV) charging stations can tremendously help in performing both regular, as well as predictive, maintenance. The data is also helpful to better understand the install base and gleaning other valuable business insights. These business insights are tremendously helpful in reducing support costs and also for identifying new revenue streams. Join Glassbeam and Gridscape in an engaging and interactive Webinar that discusses the tremendous efficiencies that IOT technologies can bring to EV charging stations.

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Glassbeam’s platform is an automated highly visual solution to unlock the business and operational value of machine data. Glassbeam has a core technology (SPL™) to parse this unstructured / semi-structured data and build a scalable data store and a set of pre-packaged applications for deep analytics.