True Flood Risk
The idea for True Flood Risk derived from a simple question raised in the aftermath of Hurricane Sandy (2012). As a property owner along the New Jersey shore, Shelly wondered why some of the houses in her neighborhood were significantly damaged while others were spared from the Superstorm’s rising storm surge. It was clear not every home was affected in the same manner yet each one was categorized in the same flood zone. Thus, True Flood Risk was born.
Shelly has 25 years consulting experience in advertising, marketing and data analytics. She worked in strategy and account planning at Ogilvy & Mather, Anderson & Lembke (now McCann) and serves as Managing Director of C2 Research. Shelly is the co-author of Beyond Big Data: Big Insights in Small Data with R (2016). She earned her Bachelors in Business Administration from Cal Poly, San Luis Obispo and attended NYU for graduate school.
How AI driven property-data helps to better understand location-specific flood risk.
Named as a semi-finalist in the 2019 Insuretech Connect/ Insurance Information Institute global Resiliency Innovation Challenge, Shelly Klose of True Flood Risk, will discuss how machine learning and AI are transforming property-level data insights. In addition, take a deeper dive to learn ways how homeowners, insurance/real estate professionals and government agencies are using key property-level features such as first floor elevation (FFE), to better understand individual property-specific flood risk.