January 28 - 30, 2019
Chicago, IL

Agenda Day 1

8:00 am - 8:50 am Registration and Morning Networking

8:50 am - 9:00 am Chairman’s Welcoming Remarks

9:00 am - 9:45 am Keynote: Telematics Insurance in the age of post truth

Matteo Carbone - Founder and Director, IoT Insurance Observatory
- Debug of the common telematics Insurance myths
- the secret source for creating economic value through telematics-based pricing
- analysis of value creation best practices

Matteo Carbone

Founder and Director
IoT Insurance Observatory

9:45 am - 10:30 am Elevating insights to manage risk and attract customers

Kelsey Bartolozzi - Product Manager, Arity
Fred Dimesa - VP Product Strategy, Answer Financial
-utilization of telematics data beyond conventional product renewal and pricing uses
-how telematics data is powering new advertising models and lead generation informed by driving behavior-ways driving data adds insights and value to both carriers and customers throughout the policy life cycle

Kelsey Bartolozzi

Product Manager


Fred Dimesa

VP Product Strategy
Answer Financial

10:30 am - 11:15 am Networking Break

11:15 am - 12:00 pm Assessing risk management solutions for autonomous vehicles

Shaz Umer - Intelligence Analyst, Lyft
-Who needs the insurance?
-Are you liable even though the car drives itself?
-Can these vehicles make informed decisions?

Shaz Umer

Intelligence Analyst

12:00 pm - 12:45 pm Where regulators and autonomous vehicles collide; Navigating diverse regulatory environments to facilitate insurance program development.

John Kadous - Vice President of Personal Lines and Auto, The American Association of Insurance Services
-Control of data, making sure it is used for the right reasons
-Addressing the lack of standardization and laws across the country
-Learning what consumers face as risks to better serve them


John Kadous

Vice President of Personal Lines and Auto
The American Association of Insurance Services

12:45 pm - 1:45 pm Lunch

1:45 pm - 2:30 pm Achieving a critical mass of data to accurately interpret driving patterns

-Data analysis for driving pattern identification
-Driver profiles- being able to access your own driving data remotely
-Type of information is needed to formulate fair premiums

2:30 pm - 3:15 pm AV's Aging and Healthcare: The Insurance Implications

Tim Woods - General Manager, Autonomous Vehicle Alliance
-Reducing congestion on the road
-Increasing productivity while driving to ensure safety
-More access to mobility

Tim Woods

General Manager
Autonomous Vehicle Alliance

3:15 pm - 4:00 pm Networking Break

4:00 pm - 4:45 pm Attracting low-risk policy holders in order to gain competitive advantages in the market.

-Lending for high-risk borrowers
-Linking insurance premiums to actual individual driving performance
-Lower rates for safe drivers

4:45 pm - 5:00 pm Chairman's Closing Remarks

5:00 pm - 5:00 pm