By marrying data from the operational technology layer with customer data, we can use predictive analytics to know when and where to send a field services engineer to resolve real events--vs capturing false alarms--to protect system uptime in a cybersecure framework.
Thanks to IoT and digital transformation, which is core to the strategy of Schneider Electric, we want to be able to create new businesses, new customer experiences, not just for end users but for the entire ecosystem that power Schneider Electric business. It is going from cases where we identify the right services for our partners for the right customers to a broad set of new capabilities to reinvent customer services and customer support. It enables our ecosystem in a much more proactive and powerful way, leveraging different technology from IoT to Artificial Intelligence.
By marrying data from the operational technology layer with customer data, we can use predictive analytics to know when and where to send a field services engineer to resolve true issues vs capturing false alarm, this is just a basic case. It can be augmented with artificial intelligence and essentially being able to weed out as many of those false positives so that our practice services are more relevant to actual assets. The associated risk of the customer business dev so we can really use our energy and time of our service team to focus on the problem that are relevant and on the actionable opportunities.
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square diamond earrings Predictive Analytics: From IoT to AI - Cyril Perducat, Schneider Electric | |
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