RiskPredictor

 

Academic Track

The idea

The RiskPredictor solution is a big data platform able to crunch in near real-time large and diverse data streams to predict, for a given driver, for a given location, for a given time, the expected accident risk.

The main usage is to support insurance companies in automate claims inspection to detect potential frauds. The system can also be used to enhance the safety of drivers by providing personalised, context-aware risk warning signals. 

 
 
 

The Team

RiskPredictor

Antonio Massaro
Antonio holds a Masters degree in Mathematics and a Master degree in Finance. He has been working in the Insurance sector for three years, within some of the major players in the field. He currently works at CREATE-NET as researcher, focusing on big data and predictive models for the energy sector.

Daniele Miorandi
Daniele holds a PhD in Communications Engineering. He has been working on the design and development of advanced ICT solutions for more than 10 years. He has published 120+ scientific articles, filed 4 patent applications and managed 10+ R&D&I projects.
He works as lead scientist at CREATE-NET and is EVP R&D at U-Hopper srl. 

 

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