State Farm Mutual Automobile Insurance Company

Rick Lovings

Ryan Michael Gross

Vicki King

Craig Benjamin Cope

Mark E Clauss

Jennifer L Crawford

Jody Ann Thoele

Steven Joseph Balbach

M Eric Riley, Sr

Shawn Harbaugh

Erik Skyten

Daryoush Hakimi

Jordan Jeffers

Joann C Yant

Jenny L Jacobs

Systems and methods are described for performing analysis of parametric events. The method may include: (1) receiving weather data from a weather oracle network; (2) calculating, using a first trained machine learning algorithm, a likelihood of a trigger activation for a parametric event (or a trigger event) for a user based at least upon the weather data; (3) calculating, using a second trained machine learning algorithm, an estimated loss for the user based at least upon the likelihood of the trigger activation; (4) determining an initial coverage for the user; and (5) determining whether to offer the user updated coverage for the parametric event based at least upon a comparison of the initial coverage and the estimated loss for the user.

Parametric engine to implement methods using parametric analytics

Systems and methods for generating and delivering personalized and relevant notifications to a user are provided. According to certain aspects, a mobile device may receive activity data from a user of the mobile device. The mobile device may identify a set of real-time sensor data relevant to the activity data. The mobile device may generate a notification based on the activity data and the set of real-time sensor data. The mobile device may identify a set of user profile data relevant to the activity data and the set of real-time sensor data, and further identify a set of static data relevant to the set of user profile data. Based on the relevant data, the mobile device may modify the notification. Finally, the mobile device may deliver the notification to the user via a user interface.

Digital atlas for delivering personalized and relevant notifications

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Bloomington, IL, United States of America

Rick Lovings