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

- 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 at IoT Insurance Observatory

Matteo Carbone

Founder and Director
IoT Insurance Observatory

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

-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 at Arity

Kelsey Bartolozzi

Product Manager

Fred Dimesa, VP Product Strategy at Answer Financial

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

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

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.

-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 at The American Association of Insurance Services

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

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

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