SlideShare a Scribd company logo
1 of 16
The Changing Nature of Risk:
www.valen.com
What Does It Mean for Leadership?
He added that by the
Time the 21st century ends,
the progress would feel like 20,000
years’ worth of transition instead of 100.
Back in 2001, famed technologist and futurist
Ray Kurzweil boldly proclaimed that
the human rate of progress
was doubling.
At the time, Kurzweil's statement
sounded a bit dubious.
But with how rapidly technology has
transformed over the last two decades,
it now seems that the world's ability to
change quickly was drastically
underestimated.
Changes that once took an entire
generation for people to adapt to now
take 10 years. The possibilities of this
rapidly changing landscape are endless
and so, of course, is the risk that
comes with it.
The fact is that we live in an age
defined by acceleration, and this
incredible pace of change has
exceeded many industries’ capacity to
handle it.
The Far Reaches of
Risk
It can simultaneously create a greater level of safety for the
status quo and change the very nature of risk, forcing
insurers to build new coverage solutions to address
previously unforeseen concerns.
It should come as no surprise that as technology rapidly
transforms, risk shifts along with it. Advancement is a double-
edged sword.
For instance, autonomous vehicles might
be safer drivers than humans, but they’re
also vulnerable to cyberattacks and
malware.
In many cases, driverless cars (and rapidly
changing tech like them) blur the lines of
where risk even falls.
For proof, just take a look at the sharing
economy.
It's less than a decade old, yet it’s raised
major questions in terms of how coverage
works.
If, for example, you drive for Uber or Lyft, is
your car classified as a work vehicle or a
personal one? And does the coverage shift
throughout the day as drivers turn their ride-
sharing service on and off?
Insurance companies have to find answers
for these types of problems on a daily basis.
It’s an understandably complex and — for
many insurance leaders — intimidating
concept.
However, while progress may be rapid,
it’s not entirely unpredictable.
For insurers, the future has the potential
to be bright for those who remain
engaged with the changing landscape of
risk.
Here's what those leaders can expect:
Humans will gain a
deeper understanding
of risk.
While technology’s race toward the future
provides ample opportunity for confusion,
it also provides the tools to parse through
that confusion and come to a better
understanding of risk.
Telematics, machine learning, data
analytics, and more all give insurers
much greater insight into how risk
touches every aspect of life.
1
Commercial auto insurers are dipping their
toes into telematics to explore how they can
be applied to evaluate individual driving
behaviors.
Companies can examine individual driving
habits to see how those routines inform the
kinds of services and discounts they can
offer customers. Instances like these are
only going to become more common.
This type of granular data sharing will have
a direct impact on how coverage is
constructed and provided in the future.
The way humans and
technology relate to
risk will change.
As automation continues to be integrated into
daily life, coverage will have to properly
account for and balance the effect computers
and humans each have on rates.
2
Amazon has more than 100,000 automated
and robotic systems integrated into its
operations working with human employees to
maintain efficiency.
The online retailer has almost certainly had to
consider how to provide coverage to cover its
employees while they work in tandem with
heavy machinery, something companies in
similar situations will also have to consider.
Regulation for this, as you can imagine, is still
being crafted. Insurers will need to make sure
they continue to stay up-to-date on how and
when machines can take over from humans
and how that will affect risk.
3
Customer service will
look a little different.
Thanks to the Internet of Things, insurers
will be able to learn about incidents in real
time and process claims before a
policyholder even gets involved.
These instantaneous notifications are
clearly useful for insurance companies, but,
used correctly, they can also be a major
selling point for consumers.
Machine learning could have a similar impact on
customer service. It can be used to pinpoint a
highly customized plan for every individual
without the customer having to do most of the
groundwork.
This age of acceleration is intimidating, and it
certainly shows no signs of slowing down.
Leadership, however, should look at all this
innovation as an opportunity, not a threat. Insurers
can leverage tech to improve the customer
experience from quote to claim, and as technology
advances, so will the tools that help insurers
understand risk.
There’s no denying that infrastructure,
demographics, and risk are all changing at
breakneck speeds.
To keep up, insurers must not just follow change —
they need to grab it by its horns and embrace the
new before it becomes old hat.
www.valen.com
Are you in need of more guidance on how to prepare for the changing
landscape of risk?
Download Valen Analytics' "2018 Outlook Report: An Industry Divide"
for insights on how to adapt your approach.

More Related Content

Similar to Valen Analytics Blog: The Changing Nature of Risk

Whitepaper - Fraudsters Love Digital_FINAL
Whitepaper - Fraudsters Love Digital_FINALWhitepaper - Fraudsters Love Digital_FINAL
Whitepaper - Fraudsters Love Digital_FINAL
David Hartley
 
Insurance_White_paper_1_2_te
Insurance_White_paper_1_2_teInsurance_White_paper_1_2_te
Insurance_White_paper_1_2_te
Laurent Gibert
 
Widening Technology Gap
Widening Technology GapWidening Technology Gap
Widening Technology Gap
Nicholas Free
 
EMB Briefings_technology_risk management final
EMB Briefings_technology_risk management finalEMB Briefings_technology_risk management final
EMB Briefings_technology_risk management final
Mike Wilkinson
 
Meghaduta - Thinksoft Newsletter (October'13)
Meghaduta - Thinksoft Newsletter (October'13)Meghaduta - Thinksoft Newsletter (October'13)
Meghaduta - Thinksoft Newsletter (October'13)
Thinksoft Global
 
Curious case of cyber insurance
Curious case of cyber insuranceCurious case of cyber insurance
Curious case of cyber insurance
Himanshu Pareek
 
Oracle Digiting Insurance specially Life Insurance
Oracle Digiting Insurance specially Life InsuranceOracle Digiting Insurance specially Life Insurance
Oracle Digiting Insurance specially Life Insurance
pyakurelsharad
 

Similar to Valen Analytics Blog: The Changing Nature of Risk (20)

Digital Insurance
Digital InsuranceDigital Insurance
Digital Insurance
 
Whitepaper - Fraudsters Love Digital_FINAL
Whitepaper - Fraudsters Love Digital_FINALWhitepaper - Fraudsters Love Digital_FINAL
Whitepaper - Fraudsters Love Digital_FINAL
 
The future of general insurance report 2017
The future of general insurance report 2017The future of general insurance report 2017
The future of general insurance report 2017
 
Insurance_White_paper_1_2_te
Insurance_White_paper_1_2_teInsurance_White_paper_1_2_te
Insurance_White_paper_1_2_te
 
How Financial Firms Blaze a Trail To New, More Predictive Operational Resilie...
How Financial Firms Blaze a Trail To New, More Predictive Operational Resilie...How Financial Firms Blaze a Trail To New, More Predictive Operational Resilie...
How Financial Firms Blaze a Trail To New, More Predictive Operational Resilie...
 
Widening Technology Gap
Widening Technology GapWidening Technology Gap
Widening Technology Gap
 
Parametric Insurance Report by Q3 2018 WTW
Parametric Insurance Report by Q3 2018 WTWParametric Insurance Report by Q3 2018 WTW
Parametric Insurance Report by Q3 2018 WTW
 
EMB Briefings_technology_risk management final
EMB Briefings_technology_risk management finalEMB Briefings_technology_risk management final
EMB Briefings_technology_risk management final
 
Meghaduta - Thinksoft Newsletter (October'13)
Meghaduta - Thinksoft Newsletter (October'13)Meghaduta - Thinksoft Newsletter (October'13)
Meghaduta - Thinksoft Newsletter (October'13)
 
Article_Big Data
Article_Big DataArticle_Big Data
Article_Big Data
 
Curious case of cyber insurance
Curious case of cyber insuranceCurious case of cyber insurance
Curious case of cyber insurance
 
What is Digital Twin Technology
What is Digital Twin TechnologyWhat is Digital Twin Technology
What is Digital Twin Technology
 
Digital Disruption of the Insurance sector
Digital Disruption of the Insurance sectorDigital Disruption of the Insurance sector
Digital Disruption of the Insurance sector
 
Digital Disruption of the Insurance Industry
Digital Disruption of the Insurance IndustryDigital Disruption of the Insurance Industry
Digital Disruption of the Insurance Industry
 
Oracle Digiting Insurance specially Life Insurance
Oracle Digiting Insurance specially Life InsuranceOracle Digiting Insurance specially Life Insurance
Oracle Digiting Insurance specially Life Insurance
 
Underwriting 3.0 _ PC360
Underwriting 3.0 _ PC360Underwriting 3.0 _ PC360
Underwriting 3.0 _ PC360
 
Technology Trends in Insurance
Technology Trends in InsuranceTechnology Trends in Insurance
Technology Trends in Insurance
 
Technology Trends in Insurance
Technology Trends in InsuranceTechnology Trends in Insurance
Technology Trends in Insurance
 
Cyber risk management and the benefits of quantification
Cyber risk management and the benefits of quantificationCyber risk management and the benefits of quantification
Cyber risk management and the benefits of quantification
 
Dia interview in Driven Magazine
Dia interview in Driven MagazineDia interview in Driven Magazine
Dia interview in Driven Magazine
 

Recently uploaded

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 

Valen Analytics Blog: The Changing Nature of Risk

  • 1. The Changing Nature of Risk: www.valen.com What Does It Mean for Leadership?
  • 2. He added that by the Time the 21st century ends, the progress would feel like 20,000 years’ worth of transition instead of 100. Back in 2001, famed technologist and futurist Ray Kurzweil boldly proclaimed that the human rate of progress was doubling.
  • 3. At the time, Kurzweil's statement sounded a bit dubious. But with how rapidly technology has transformed over the last two decades, it now seems that the world's ability to change quickly was drastically underestimated.
  • 4. Changes that once took an entire generation for people to adapt to now take 10 years. The possibilities of this rapidly changing landscape are endless and so, of course, is the risk that comes with it. The fact is that we live in an age defined by acceleration, and this incredible pace of change has exceeded many industries’ capacity to handle it.
  • 5. The Far Reaches of Risk It can simultaneously create a greater level of safety for the status quo and change the very nature of risk, forcing insurers to build new coverage solutions to address previously unforeseen concerns. It should come as no surprise that as technology rapidly transforms, risk shifts along with it. Advancement is a double- edged sword.
  • 6. For instance, autonomous vehicles might be safer drivers than humans, but they’re also vulnerable to cyberattacks and malware. In many cases, driverless cars (and rapidly changing tech like them) blur the lines of where risk even falls. For proof, just take a look at the sharing economy.
  • 7. It's less than a decade old, yet it’s raised major questions in terms of how coverage works. If, for example, you drive for Uber or Lyft, is your car classified as a work vehicle or a personal one? And does the coverage shift throughout the day as drivers turn their ride- sharing service on and off? Insurance companies have to find answers for these types of problems on a daily basis.
  • 8. It’s an understandably complex and — for many insurance leaders — intimidating concept. However, while progress may be rapid, it’s not entirely unpredictable. For insurers, the future has the potential to be bright for those who remain engaged with the changing landscape of risk. Here's what those leaders can expect:
  • 9. Humans will gain a deeper understanding of risk. While technology’s race toward the future provides ample opportunity for confusion, it also provides the tools to parse through that confusion and come to a better understanding of risk. Telematics, machine learning, data analytics, and more all give insurers much greater insight into how risk touches every aspect of life. 1
  • 10. Commercial auto insurers are dipping their toes into telematics to explore how they can be applied to evaluate individual driving behaviors. Companies can examine individual driving habits to see how those routines inform the kinds of services and discounts they can offer customers. Instances like these are only going to become more common. This type of granular data sharing will have a direct impact on how coverage is constructed and provided in the future.
  • 11. The way humans and technology relate to risk will change. As automation continues to be integrated into daily life, coverage will have to properly account for and balance the effect computers and humans each have on rates. 2
  • 12. Amazon has more than 100,000 automated and robotic systems integrated into its operations working with human employees to maintain efficiency. The online retailer has almost certainly had to consider how to provide coverage to cover its employees while they work in tandem with heavy machinery, something companies in similar situations will also have to consider. Regulation for this, as you can imagine, is still being crafted. Insurers will need to make sure they continue to stay up-to-date on how and when machines can take over from humans and how that will affect risk.
  • 13. 3 Customer service will look a little different. Thanks to the Internet of Things, insurers will be able to learn about incidents in real time and process claims before a policyholder even gets involved. These instantaneous notifications are clearly useful for insurance companies, but, used correctly, they can also be a major selling point for consumers.
  • 14. Machine learning could have a similar impact on customer service. It can be used to pinpoint a highly customized plan for every individual without the customer having to do most of the groundwork. This age of acceleration is intimidating, and it certainly shows no signs of slowing down.
  • 15. Leadership, however, should look at all this innovation as an opportunity, not a threat. Insurers can leverage tech to improve the customer experience from quote to claim, and as technology advances, so will the tools that help insurers understand risk. There’s no denying that infrastructure, demographics, and risk are all changing at breakneck speeds. To keep up, insurers must not just follow change — they need to grab it by its horns and embrace the new before it becomes old hat.
  • 16. www.valen.com Are you in need of more guidance on how to prepare for the changing landscape of risk? Download Valen Analytics' "2018 Outlook Report: An Industry Divide" for insights on how to adapt your approach.