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“Growing Team Synergy for Analyzing IoT Streams for Risk Assessment”. The webinar will take place on 23 March 2021, 16.00-17.00 CET.

The fourth installment of this webinar series will be delivered by Professor Nalini Ravishanker, Department of Statistics, University of Connecticut, Storrs, CT, USA on Tuesday March 23rd, at 16.00-17.00 (Italy, Germany, France, Belgium), which should be 11.00-12.00 in New York (Europe starts daylight saving time later). The webinar is free of charge . Registrations are possible here.

Title: “Growing Team Synergy for Analyzing IoT Streams for Risk Assessment

Abstract: Currently, many companies are leveraging the advancement in IoT technologies by incorporating Wireless Sensor Network (WSN)-based solutions as part of their monitoring and risk analysis systems. The Hartford Steam Boiler (HSB), whose parent company is the Munich Re Group, is interested in analyzing vast amounts of data and information from IoT sensors that monitor temperatures for thousands of institutional buildings across the US in order to minimize the risk of adverse events for its customers. This talk will describe how three teams with different skill sets and training can work together to leverage engineering know-how with state of the art approaches in statistical methods and computing algorithms in order to handle aberrant data handling, clustering subsequences, and anomaly detection, in order to achieve the company’s business goals. The teams consist of domain knowledge experts from HSB, and research teams of faculty and graduate students from Statistics and Computer Science from the University of Connecticut.