Using Predictive Models to Assess and Act Upon Changing Driver Behavior

Overview

On-Demand Webcast

If you have previously registered for this event, please click here, and log-in using the email you registered with to access the on-demand event.

Cost: Complimentary

Produced and Sponsored by:

Is reckless or distracted driving correlated to future accidents and risk? Does a trend of speeding increase the probability of accidents for employers? Are certain behaviors correlated and can risk be predicted based on past behavior?

As an insurance or risk professional, it’s important to quickly identify negative behavior trends that impact your business. Driver risk is inherent and difficult to predict, even if there is a robust safety policy in place. However, understanding correlating behaviors that could add risk to the company or portfolio can shape the strategies put in place to mitigate that risk.

Join this complimentary webcast to learn how the implementation of AI and predictive modeling can help identify leading indicators that are correlated to risky driving behaviors. Speakers will discuss:

• How predictive modeling can enhance driver risk assessment, and the overarching risk implications for the business or portfolio.
• What the future of predictive modeling looks like and how it will play a prominent role within the insurance and risk management community
• How this technology positively affects both the carrier’s position in the marketplace and the risk professional’s business as a whole

REGISTER NOW! (Not able to attend? STILL REGISTER you will receive an email with how to access the recording of the event)

Speakers:

	Chris Delaplaine | Senior Risk Engineering Consultant, The Zurich Services Corporation Chris has thirty-three years of experience in transportation safety and health, operations, distribution, human resources and environmental issues. As a Risk Engineering Consultant for The Zurich Services Corporation’s Transportation Division, he is responsible for providing risk engineering services to customers in an effort to help reduce losses and increase profitability at site location and corporate levels. Chris also facilitates the integration of underwriting, engineering and claims services.
	Ayodele Odubela | Data Scientist, SambaSafety Ayodele Odubela is a Data Scientist working on driver risk mitigation at SambaSafety in Denver, CO. Previously she earned her Master’s degree in Data Science after transitioning to tech from social media marketing. She’s created algorithms that predict consumer segment movement, goals in hockey, and the location of firearms using radio frequency sensors.
	Marian Aavang | Vice President, Product Management, SambaSafety As a Vice President of Product Management, Marian Aavang leads SambaSafety’s data team. She sets the data strategy and directs the development of driver monitoring solutions employing advanced analytic methods. Prior to joining SambaSafety in 2016, she led product innovation at ShopAtHome, a B2C e-commerce business. Previously, she held roles in Product and Corporate Strategy at BankRate, focusing on site traffic optimization and monetization across their insurance vertical.
	Rick Fendell | Vice President, Insurance and Channels, SambaSafety, Webcast Moderator As Vice President, Insurance & Channels, Rick Fendell oversees the insurance sales offerings in addition to strategic partnerships. Fendell brings over 15 years’ experience in sales and relationship-management, impacting SambaSafety’s booming insurance sector.