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Navigating Insurtech & Innovation
April 20, 2020
Mitchell Li
Hi, I’m Mitchell!
2Mitchell Li
2B – Mathematics & Business
@ University of Waterloo
mt8li@uwaterloo.ca
Agenda
3Mitchell Li
1 Background
2
Implications on
Insurance Firms
3 Recommendation
4 Implementation
5 Insurtech Spotlight
6 Conclusion
Source: McKinsey Panorama 4Mitchell Li
AutomationTargeted
Connectivity
Digitalization
Data-driven
Engagement
Key characteristics of insurtechs
Insurtechs are leveraging digital expertise to
maximize value within the value chain
Big Data & AI
Machine Learning
Internet of Things (IoT)
Robotics
Blockchain
Digital Customer Interfaces
New technologies adopted by insurtechs
The rise of insurtechs
0.14
0.27
2.7
2.3
6.37
0
50
100
150
200
250
300
350
0
1
2
3
4
5
6
7
2011 2013 2015 2017 2019
NumberofDeals
InvestmentsInBillions,USD
Source: McKinsey, Willis Towers Watson 5Mitchell Li
1. Over the last decade,
venture capital
investments in
insurtech has grown
4,450%, from $140
million USD to 6.37
billion USD
2. The global insurtech
market is expected to
grow 41% annually
over the next 3 years
Key Insights
Number of deals increasing at 60.65% per two years
Agenda
6Mitchell Li
1 Background
2
Implications on
Insurance Firms
3 Recommendation
4 Implementation
5 Insurtech Spotlight
6 Conclusion
The rise of technology is a concern for insurance firms
Source: PricewaterhouseCoopers (PwC), Deloitte 7Mitchell Li
of insurance industry respondents indicated that cultivating a
engaged and innovative culture was their top challenge
of Insurance CEOs were concerned by the speed of technological
change as a threat to growth
93%
68%
Agenda
8Mitchell Li
1 Background
2
Implications on
Insurance Firms
3 Recommendation
4 Implementation
5 Insurtech Spotlight
6 Appendix
Fairfax’s response to rise of insurtechs
Canada’s first direct-to-
consumer small business
insurance provider
Leveraging AI to improve
customer experience through
chatbots
Source: Fairfax Financial Holdings 9Mitchell Li
TruShield
Onlia is a fully digital P&C
insurer with digital safety
products.
This is a result of a partnership
between Fairfax and Achmea
Onlia FairVentures Lab
Fairfax’s innovation lab is in
place to explore emerging
technologies to facilitate
innovation within Fairfax
companies, including
Northbridge
Fairfax has responded deftly to the rise of new technologies within insurance
Source: Jon Medel, Adam Scarth 10
Artificial Intelligence
models are being
developed to increase
accuracy of fraud detection
Machine Learning
Algorithms are being
implemented to automate
business classification with
underwriting
Artificial Intelligence and
Machine Learning
Algorithms are being
utilized to enhance the end
to end claims process
Mitchell Li
Northbridge is currently leveraging analytics and
technology for the following three main purposes
Fraud Detection Underwriting Process Claims Processing
11Mitchell Li
1. Run skills & innovation workshops to equip employees with
the capabilities to innovate Northbridge
2. Allow employees to innovate within all aspects of their job
3. Build up an innovation infrastructure to allow concepts to go
beyond ideation and into implementation
1. Evolve from an internal Northbridge competition to a national
start-up innovation competition
2. Develop a pipeline of innovative ideas and enable
opportunities to partner with insurtech start-ups
Enable innovation
within Northbridge
Northbridge
Innovation
Challenge
Northbridge should continue to foster innovation on
a holistic level across the company
Agenda
12Mitchell Li
1 Background
2
Implications on
Insurance Firms
3 Recommendation
4 Implementation
5 Insurtech Spotlight
6 Conclusion
Expanding the Northbridge Innovation Challenge
13Mitchell Li
Identify ground-breaking
ideas for services and/or
products within insurance to
potentially implement with
Northbridge
Goal:
Northbridge Innovation Challenge Competition will establish an pipeline of innovative ideas
and enable opportunities to partner with industry driving insurtech start-ups
1. Submissions are open
to the Canadian public
2. Winners will be given
the opportunity to work
with Northbridge to
bring their
service/product to life
Details:
Enablement of innovation within Northbridge
Source: Harvard Business Review, CSAA Insurance Group 14Mitchell Li
Innovation Training Idea Implementation Engagement
Design Thinking
Interdisciplinary
ideation sessions
Skills and Innovation
Workshops
Innovation Hub
Department
Innovation Leads
Post-training
consultations
Motivate employees
Reward and
recognize innovation
Innovation contests
and challenges
Agenda
15Mitchell Li
1 Background
2
Implications on
Insurance Firms
3 Recommendation
4 Implementation
5 Insurtech Spotlight
6 Conclusion
Company Profile: Lemonade
Source: Doughroller, Lemonade 16Mitchell Li
Provides renters and homeowners insurance
through a peer-to-peer model
20% to cover
operations
30% of all claims are
handled instantly
All premiums are paid into communal claims pool
% goes towards
reinsurance
Rest goes
towards claims
payments
Boasts a 3 second world
record in claim handling
If there is money left over in the claims pool, it will go to charity
10.2% of its annual
revenue donated in 2017
$631,540 donated to
charity in 2019
Company Profile: Chisel AI
Source: InsurTech North, Chisel AI 17Mitchell Li
Product:
Natural Language Processing
(NLP) & Machine Learning (ML)
400x faster than a human in
reading unstructured data, a 50%
increase in underwriting capacity
Data-Extraction Tool for
Commercial Insurance Carriers
How it works:
Capabilities:
Company Profile: Zesty.ai
Source: Yahoo Finance, Zesty.ai 18Mitchell Li
Developed an AI-based Risk Analytics Platform for
P&C insurance that provides insurers with property,
climate, and change insights
Analyzes over 115 billion data points across 140
million structures through satellite and drone
imagery, aircraft and weather data
Recognized as one of the top 100 most innovative
AI startups in the world in 2020
Illustrative: Zesty.ai
Source: Vimeo – Zesty.ai 19Mitchell Li
Agenda
20Mitchell Li
1 Background
2
Implications on
Insurance Firms
3 Recommendation
4 Implementation
5 Insurtech Spotlight
6 Conclusion
Summary
21
How should
Northbridge
navigate the
advancement of
technology in
the insurance
industry?
Enable
partnerships with
insurtech startups
Expand
Northbridge
Innovation
Challenge
KALM & Co.
Rate of
technological
change
IssuesObjective Recommendations Impact
Culture of
innovation
Develop innovation
infrastructure within
Northbridge
Increase in
continuous
improvement
innovations
>
>

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Navigating Insurtech & Innovation

  • 1. Navigating Insurtech & Innovation April 20, 2020 Mitchell Li
  • 2. Hi, I’m Mitchell! 2Mitchell Li 2B – Mathematics & Business @ University of Waterloo mt8li@uwaterloo.ca
  • 3. Agenda 3Mitchell Li 1 Background 2 Implications on Insurance Firms 3 Recommendation 4 Implementation 5 Insurtech Spotlight 6 Conclusion
  • 4. Source: McKinsey Panorama 4Mitchell Li AutomationTargeted Connectivity Digitalization Data-driven Engagement Key characteristics of insurtechs Insurtechs are leveraging digital expertise to maximize value within the value chain Big Data & AI Machine Learning Internet of Things (IoT) Robotics Blockchain Digital Customer Interfaces New technologies adopted by insurtechs
  • 5. The rise of insurtechs 0.14 0.27 2.7 2.3 6.37 0 50 100 150 200 250 300 350 0 1 2 3 4 5 6 7 2011 2013 2015 2017 2019 NumberofDeals InvestmentsInBillions,USD Source: McKinsey, Willis Towers Watson 5Mitchell Li 1. Over the last decade, venture capital investments in insurtech has grown 4,450%, from $140 million USD to 6.37 billion USD 2. The global insurtech market is expected to grow 41% annually over the next 3 years Key Insights Number of deals increasing at 60.65% per two years
  • 6. Agenda 6Mitchell Li 1 Background 2 Implications on Insurance Firms 3 Recommendation 4 Implementation 5 Insurtech Spotlight 6 Conclusion
  • 7. The rise of technology is a concern for insurance firms Source: PricewaterhouseCoopers (PwC), Deloitte 7Mitchell Li of insurance industry respondents indicated that cultivating a engaged and innovative culture was their top challenge of Insurance CEOs were concerned by the speed of technological change as a threat to growth 93% 68%
  • 8. Agenda 8Mitchell Li 1 Background 2 Implications on Insurance Firms 3 Recommendation 4 Implementation 5 Insurtech Spotlight 6 Appendix
  • 9. Fairfax’s response to rise of insurtechs Canada’s first direct-to- consumer small business insurance provider Leveraging AI to improve customer experience through chatbots Source: Fairfax Financial Holdings 9Mitchell Li TruShield Onlia is a fully digital P&C insurer with digital safety products. This is a result of a partnership between Fairfax and Achmea Onlia FairVentures Lab Fairfax’s innovation lab is in place to explore emerging technologies to facilitate innovation within Fairfax companies, including Northbridge Fairfax has responded deftly to the rise of new technologies within insurance
  • 10. Source: Jon Medel, Adam Scarth 10 Artificial Intelligence models are being developed to increase accuracy of fraud detection Machine Learning Algorithms are being implemented to automate business classification with underwriting Artificial Intelligence and Machine Learning Algorithms are being utilized to enhance the end to end claims process Mitchell Li Northbridge is currently leveraging analytics and technology for the following three main purposes Fraud Detection Underwriting Process Claims Processing
  • 11. 11Mitchell Li 1. Run skills & innovation workshops to equip employees with the capabilities to innovate Northbridge 2. Allow employees to innovate within all aspects of their job 3. Build up an innovation infrastructure to allow concepts to go beyond ideation and into implementation 1. Evolve from an internal Northbridge competition to a national start-up innovation competition 2. Develop a pipeline of innovative ideas and enable opportunities to partner with insurtech start-ups Enable innovation within Northbridge Northbridge Innovation Challenge Northbridge should continue to foster innovation on a holistic level across the company
  • 12. Agenda 12Mitchell Li 1 Background 2 Implications on Insurance Firms 3 Recommendation 4 Implementation 5 Insurtech Spotlight 6 Conclusion
  • 13. Expanding the Northbridge Innovation Challenge 13Mitchell Li Identify ground-breaking ideas for services and/or products within insurance to potentially implement with Northbridge Goal: Northbridge Innovation Challenge Competition will establish an pipeline of innovative ideas and enable opportunities to partner with industry driving insurtech start-ups 1. Submissions are open to the Canadian public 2. Winners will be given the opportunity to work with Northbridge to bring their service/product to life Details:
  • 14. Enablement of innovation within Northbridge Source: Harvard Business Review, CSAA Insurance Group 14Mitchell Li Innovation Training Idea Implementation Engagement Design Thinking Interdisciplinary ideation sessions Skills and Innovation Workshops Innovation Hub Department Innovation Leads Post-training consultations Motivate employees Reward and recognize innovation Innovation contests and challenges
  • 15. Agenda 15Mitchell Li 1 Background 2 Implications on Insurance Firms 3 Recommendation 4 Implementation 5 Insurtech Spotlight 6 Conclusion
  • 16. Company Profile: Lemonade Source: Doughroller, Lemonade 16Mitchell Li Provides renters and homeowners insurance through a peer-to-peer model 20% to cover operations 30% of all claims are handled instantly All premiums are paid into communal claims pool % goes towards reinsurance Rest goes towards claims payments Boasts a 3 second world record in claim handling If there is money left over in the claims pool, it will go to charity 10.2% of its annual revenue donated in 2017 $631,540 donated to charity in 2019
  • 17. Company Profile: Chisel AI Source: InsurTech North, Chisel AI 17Mitchell Li Product: Natural Language Processing (NLP) & Machine Learning (ML) 400x faster than a human in reading unstructured data, a 50% increase in underwriting capacity Data-Extraction Tool for Commercial Insurance Carriers How it works: Capabilities:
  • 18. Company Profile: Zesty.ai Source: Yahoo Finance, Zesty.ai 18Mitchell Li Developed an AI-based Risk Analytics Platform for P&C insurance that provides insurers with property, climate, and change insights Analyzes over 115 billion data points across 140 million structures through satellite and drone imagery, aircraft and weather data Recognized as one of the top 100 most innovative AI startups in the world in 2020
  • 19. Illustrative: Zesty.ai Source: Vimeo – Zesty.ai 19Mitchell Li
  • 20. Agenda 20Mitchell Li 1 Background 2 Implications on Insurance Firms 3 Recommendation 4 Implementation 5 Insurtech Spotlight 6 Conclusion
  • 21. Summary 21 How should Northbridge navigate the advancement of technology in the insurance industry? Enable partnerships with insurtech startups Expand Northbridge Innovation Challenge KALM & Co. Rate of technological change IssuesObjective Recommendations Impact Culture of innovation Develop innovation infrastructure within Northbridge Increase in continuous improvement innovations > >

Editor's Notes

  1. Background What is Spotify?! (And mention their “Scaling Agile” operations model) What is their mission Problem What is stopping them from doing what they want to do! Limited Profitability Increased Competition Third issue Recommendation Spotify should implement a localization strategy Operations: Integrate it within Spotify Offices around the world, splitting into geographic clusters Marketing & Promotions: Cater promotional campaigns to phenomenon within geographic clusters Data: Response to push notifs and campaigns yields more customer data Product: With the increase in data, Spotify can create Podcast content to the customer’s wants & can further improve song/playlist recommendations
  2. Background What is Spotify?! (And mention their “Scaling Agile” operations model) What is their mission Problem What is stopping them from doing what they want to do! Limited Profitability Increased Competition Third issue Recommendation Spotify should implement a localization strategy Operations: Integrate it within Spotify Offices around the world, splitting into geographic clusters Marketing & Promotions: Cater promotional campaigns to phenomenon within geographic clusters Data: Response to push notifs and campaigns yields more customer data Product: With the increase in data, Spotify can create Podcast content to the customer’s wants & can further improve song/playlist recommendations
  3. Talk about scaling agile