Pinpoint Predictive provides property and casualty insurance carriers with individual loss predictions and risk scores for consumers early in their journey. Using deep learning models trained on vast proprietary datasets, Pinpoint can predict risks like loss costs, litigation, and premium leakage. This allows carriers to implement growth strategies that increase customer lifetime value and profitability. Pinpoint's predictions and scores help carriers optimize their book of business and unlock 8-9 figures in annual savings.
3+ Keys to Proactive Underwriting (1).pdfCogitate.us
What is the advantage of insurance technology built by insurance
people? It has been designed with a passion to solve problems and meet your needs based on real-life experiences by people who have held your roles. Those who have done the job of producer, underwriter, product manager, CFO, and CIO, know firsthand the functions and features that impact speed to market and your ROI at a granular level. Welcome to
Cogitate and an introduction to future-ready underwriting on a modern
policy administration platform.
Cloud Enabled Transformation In InsuranceCapgemini
Immature capabilities and growing market disruptors are compelling insurers to act swiftly and become fully customer centric. According to the World Insurance Report 2015 less than 30% of customers are having positive customer experiences globally forcing Insurers to reinvent their ability to deliver positive customer experience across the entire customer journey.
Capgemini's ACEs (All Channel Experience) for Insurance is built on Salesforce the leading CRM platform to help insurers improve their core capabilities and enrich customer experiences regardless of customer channel or device preferences.
Find out how Cloud-Enabled Transformation in Insurance from Capgemini and Salesforce is a faster and less disruptive way for insurers to rapidly evolve digital capabilities to achieve customer experiences that leave your customers wanting more!
Fixing the Insurance Industry: How Big Data can Transform Customer SatisfactionCapgemini
Insurers are facing a moment of truth. Customer satisfaction levels have hit worryingly low levels. According to a survey conducted by Capgemini in 2014, less than a third of customers globally are satisfied with the services of their insurance providers. Traditional insurers also face competition from new entrants who are determined to meet customer expectations. Non-traditional competitors, such as ecommerce majors and technology startups, are leveraging their data-rich customer interactions to create and sell insurance products.
Surprisingly, insurers seem to have overlooked the impact of Big Data on improving customer experience as they often focus their Big Data efforts on detecting fraudulent claims and improving underwriting profitability. In fact, only 12% of insurers consider the enhancement of customer experience as a top Big Data priority. This is startling given the poor levels of customer satisfaction in the insurance industry. In this research, we examine how insurers can effectively leverage customer data to improve customer satisfaction.
Harnessing the data exhaust stream: Changing the way the insurance game is pl...Accenture Insurance
Vast new data streams create opportunities for insurers to identify and act upon hidden insights, but they also open the door for new business models and competitors.
Data-driven insights make it possible to create new products and new revenue streams, typically in partnership with players from outside the industry.
Harnessing external data is a complex undertaking, but insurers can start by developing a comprehensive plan and then undertaking specific, high-return initiatives that build momentum and help transform the enterprise into a winning competitor in the new digital arena.
3+ Keys to Proactive Underwriting (1).pdfCogitate.us
What is the advantage of insurance technology built by insurance
people? It has been designed with a passion to solve problems and meet your needs based on real-life experiences by people who have held your roles. Those who have done the job of producer, underwriter, product manager, CFO, and CIO, know firsthand the functions and features that impact speed to market and your ROI at a granular level. Welcome to
Cogitate and an introduction to future-ready underwriting on a modern
policy administration platform.
Cloud Enabled Transformation In InsuranceCapgemini
Immature capabilities and growing market disruptors are compelling insurers to act swiftly and become fully customer centric. According to the World Insurance Report 2015 less than 30% of customers are having positive customer experiences globally forcing Insurers to reinvent their ability to deliver positive customer experience across the entire customer journey.
Capgemini's ACEs (All Channel Experience) for Insurance is built on Salesforce the leading CRM platform to help insurers improve their core capabilities and enrich customer experiences regardless of customer channel or device preferences.
Find out how Cloud-Enabled Transformation in Insurance from Capgemini and Salesforce is a faster and less disruptive way for insurers to rapidly evolve digital capabilities to achieve customer experiences that leave your customers wanting more!
Fixing the Insurance Industry: How Big Data can Transform Customer SatisfactionCapgemini
Insurers are facing a moment of truth. Customer satisfaction levels have hit worryingly low levels. According to a survey conducted by Capgemini in 2014, less than a third of customers globally are satisfied with the services of their insurance providers. Traditional insurers also face competition from new entrants who are determined to meet customer expectations. Non-traditional competitors, such as ecommerce majors and technology startups, are leveraging their data-rich customer interactions to create and sell insurance products.
Surprisingly, insurers seem to have overlooked the impact of Big Data on improving customer experience as they often focus their Big Data efforts on detecting fraudulent claims and improving underwriting profitability. In fact, only 12% of insurers consider the enhancement of customer experience as a top Big Data priority. This is startling given the poor levels of customer satisfaction in the insurance industry. In this research, we examine how insurers can effectively leverage customer data to improve customer satisfaction.
Harnessing the data exhaust stream: Changing the way the insurance game is pl...Accenture Insurance
Vast new data streams create opportunities for insurers to identify and act upon hidden insights, but they also open the door for new business models and competitors.
Data-driven insights make it possible to create new products and new revenue streams, typically in partnership with players from outside the industry.
Harnessing external data is a complex undertaking, but insurers can start by developing a comprehensive plan and then undertaking specific, high-return initiatives that build momentum and help transform the enterprise into a winning competitor in the new digital arena.
Harnessing the data exhaust stream: Changing the way the insurance game is pl...Accenture Insurance
Learn how external insurance data and analytics is changing everything, from pricing risk to interacting with customers. Read more: https://www.accenture.com/us-en/insight-harnessing-external-data-stream
This Time It's Personal: A human approach to profitable growth for insurersAccenture Insurance
Our research identifies that insurers can achieve profitable growth of 5 to 15 percent by taking a personalised approach to addressing customer needs. To convert the opportunity, insurers should follow our three-step path to value which, using data and analytics coupled with human insight techniques, creates and delivers hyper-personalised experiences that improve customer retention.
Predictive analytics. overview of skills and opportunitiesFarid Gurbanov
Predictive Analytics could bring benefits virtually to any data-intensive and knowledge-intensive organization. With integration into existing business processes and applications it gives plenty of powerful opportunities. In this brief presentation I outline my experience and skills in data analytics.
Six Crucial Steps for Insurance Companies to Excel in Risk Management360factors
The emerging cyber insurance industry has a unique chance to differentiate itself by correctly measuring risk and assisting clients to improve their cybersecurity coverage, decreasing their risk profile. Insurance and risk management are inextricably linked. Although insurance supplements risk management efforts for businesses, sound risk management is critical to an insurance firm’s survival.
For more details: https://bit.ly/41wgVPa
To meet customers’ needs and deliver profitable growth, insurers must embrace the potential of digital underwriting. Ninety percent are investing in the function, but are they making the right investments? This report proposes a practical plan to set underwriters on the path to digital transformation. It includes the attributes they need, how they can make better use of analytics, and new technologies worth considering.
Modernizing the Insurance Value Chain: Top Three Digital ImperativesCognizant
As nontraditional companies enter the insurance scene and insurtechs launch novel products, incumbents need to accelerate innovation and differentiate the customer journey to remain in the game. Here are three strategies to achieve these goals, with a brief look at a few companies well on their way.
Analytics is a two-sided coin. While on one side, it uses
descriptive and predictive models to gain valuable knowledge from data, i.e. data analysis, on the other side, it provides insight to recommend action or guide decision making, i.e. communication
Managing Risk in a digital world: successfully enabling the quest for new rev...accenture
For the 4th consecutive year Accenture was a co-sponsor at the 21st Annual RiskMinds International conference in December 2014. Steve Culp, senior managing director, Accenture Finance& Risk Services, presented to more than 500 Chief Risk Officers in the plenary session on Managing Risk in a digital world: successfully enabling the quest for new revenue.
Valuation Demystified How to Evaluate a Fintech Startup’s WorthMY Valuation
The term fintech is a portmanteau of two words: financial and technology. It describes an app, software, or technology that enables businesses and consumers to perform financial activities digitally.
Reshaping Underwriting Landscape With Focussing On CX – WhitepaperIndusNetMarketing
80% of customers lost interest in buying life insurance due to the poor underwriting process. These top 3 strategic solutions are imperative to enhance CX.
Harnessing the data exhaust stream: Changing the way the insurance game is pl...Accenture Insurance
Learn how external insurance data and analytics is changing everything, from pricing risk to interacting with customers. Read more: https://www.accenture.com/us-en/insight-harnessing-external-data-stream
This Time It's Personal: A human approach to profitable growth for insurersAccenture Insurance
Our research identifies that insurers can achieve profitable growth of 5 to 15 percent by taking a personalised approach to addressing customer needs. To convert the opportunity, insurers should follow our three-step path to value which, using data and analytics coupled with human insight techniques, creates and delivers hyper-personalised experiences that improve customer retention.
Predictive analytics. overview of skills and opportunitiesFarid Gurbanov
Predictive Analytics could bring benefits virtually to any data-intensive and knowledge-intensive organization. With integration into existing business processes and applications it gives plenty of powerful opportunities. In this brief presentation I outline my experience and skills in data analytics.
Six Crucial Steps for Insurance Companies to Excel in Risk Management360factors
The emerging cyber insurance industry has a unique chance to differentiate itself by correctly measuring risk and assisting clients to improve their cybersecurity coverage, decreasing their risk profile. Insurance and risk management are inextricably linked. Although insurance supplements risk management efforts for businesses, sound risk management is critical to an insurance firm’s survival.
For more details: https://bit.ly/41wgVPa
To meet customers’ needs and deliver profitable growth, insurers must embrace the potential of digital underwriting. Ninety percent are investing in the function, but are they making the right investments? This report proposes a practical plan to set underwriters on the path to digital transformation. It includes the attributes they need, how they can make better use of analytics, and new technologies worth considering.
Modernizing the Insurance Value Chain: Top Three Digital ImperativesCognizant
As nontraditional companies enter the insurance scene and insurtechs launch novel products, incumbents need to accelerate innovation and differentiate the customer journey to remain in the game. Here are three strategies to achieve these goals, with a brief look at a few companies well on their way.
Analytics is a two-sided coin. While on one side, it uses
descriptive and predictive models to gain valuable knowledge from data, i.e. data analysis, on the other side, it provides insight to recommend action or guide decision making, i.e. communication
Managing Risk in a digital world: successfully enabling the quest for new rev...accenture
For the 4th consecutive year Accenture was a co-sponsor at the 21st Annual RiskMinds International conference in December 2014. Steve Culp, senior managing director, Accenture Finance& Risk Services, presented to more than 500 Chief Risk Officers in the plenary session on Managing Risk in a digital world: successfully enabling the quest for new revenue.
Valuation Demystified How to Evaluate a Fintech Startup’s WorthMY Valuation
The term fintech is a portmanteau of two words: financial and technology. It describes an app, software, or technology that enables businesses and consumers to perform financial activities digitally.
Reshaping Underwriting Landscape With Focussing On CX – WhitepaperIndusNetMarketing
80% of customers lost interest in buying life insurance due to the poor underwriting process. These top 3 strategic solutions are imperative to enhance CX.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
Pinpoint Predictive- InsurTech Innovation Award 2022
1. Pinpoint Predictive provides Property & Casualty insurance
carriers with individual loss predictions on consumers at
the very beginning of their journey.
Pinpoint's deep learning-powered platform unlocks 8-9
figures in annual savings for insurers by identifying the
most - and least - profitable consumers through
quantifying unpriceable risks like individual loss cost,
litigation, SIU referral, cancellation, and premium leakage
earlier and more accurately.
With the ability to predict risk before
an application is submitted, Pinpoint’s
clients can implement intelligent
growth strategies to increase customer
lifetime value and materially increase
profitability.
Pinpoint provides the largest and
fastest improvements to loss ratios in
the ecosystem - taking less than a week
to develop custom risk scores that are
immediately deployable.
1
2. Industry Challenges
Most insurers still do not yet have a way to predict
an individual’s profitability accurately at top-of-
funnel. Pinpoint’s clients do. They know an
individual’s loss cost before an application is ever
submitted. Therefore, our clients can create
intelligent growth strategies that maximize
profitability and materially impact loss ratios.
This significant positive bottom-line impact allows
our clients to redeploy their capital, strategically
creating more relevant experiences for their existing
and new customers. The result is a shift of their
book to a more favorable risk mix.
Social inflation has driven higher insurer claim payouts and loss
ratios; increased litigation and premiums have, in turn, cause
negative consumer sentiment and can further social inflation and
policy churn
S o c i a l I n f l a t i o n
51% of US insurers have been trading below book value.1 And,
the 2022 combined ratio for the property and casualty
insurance industry is expected remain unfavorable2
P r o f i t a b i l i t y P r e s s u r e s
Pressure to grow with and through digital technologies and
direct channels has negatively impacted loss ratios as risk
selection has been ineffective or absent
G r o w t h I m p e r a t i v e s
1 McKinsey, February 2022
2 Insurance Information Institute (Triple-I) and Milliman August 11, 2022
2
3. Two solutions, one
objective –
increase profitability
Loss predictions include claims frequency, severity, and pure premium.
This means that an insurer will know the cost of a claim for a prospect
before the application is even submitted.
Loss Predictions
Risk scores includes the unpriceable risks of litigation, SIU referral at point
of quote, cancellation, and premium leakage. These risk scores quantify
individual, previously unpriceable, risk for all new and existing clients.
Risk Scores
3
4. We offer small businesses a
complete array of online
marketing solutions to fit any
budget, our search engine.
W R I T E Y O U R T I T L E
We offer small
businesses a complete
array of online
marketing solutions to
fit any budget, our
search engine.
L o s s P r e d i c t i o n s
Loss Predictions
This top-of-funnel intelligence
allows insurers to increase or
decrease friction in the
application and binding process
to expedite the experience for
the least risky customers.
Our unmatched loss predictions
also enable carriers to create
and implement more profitable
targeted growth and pre-
renewal strategies.
4
5. We offer small businesses a
complete array of online
marketing solutions to fit any
budget, our search engine.
W R I T E Y O U R T I T L E
We offer small
businesses a complete
array of online
marketing solutions to
fit any budget, our
search engine.
L o s s P r e d i c t i o n s
Risk Scores
Our automated modeling capabilities
leverage deep learning, which provides our
clients with a competitive advantage.
Simply uploading 3 datasets enables our
clients to create custom risk scores for
specific applications, such as:
• SIU Referral at Point of Quote
• Litigation
• Cancellation
• Premium Leakage
These risk scores, as well as the
accompanying Explainable Analytics, identify
and quantify key risks earlier than ever, even
prior to application submission.
5
Litigation Model
6. Fastest Time-to-Value in the P&C Ecosystem
Clients securely upload their datasets
to the OnPoint Platform. During the
Proof of Value, our platform maps
these internally with our proprietary
data and thousands of new datapoints
per person. Our platform’s deep
learning algorithms then automatically
generate models customized to each
book of business.
Each record in the blind validation set
receives a loss prediction or risk score.
The actuarial loss prediction predicts
frequency, severity, and pure premium.
The classifier risk scores quantify how
much more or less likely than average the
prospect is to engage in the risk behavior.
A back test validates predictive
performance.
In addition to loss predictions and
risk scores, the OnPoint platform
creates three other easy-to-use
outputs: a suite of explainable
analytics, lift charts, and a Return on
Investment (ROI) calculator that
quantifies dollar savings. All outputs
are available within the first week of
dataset upload.
Generate Models Validate Outcomes Intelligent Insights
Immediately deployable predictions and scores available within 30 days
6
7. To get your company’s name out
there, you need to make sure you
promote it in the right place.
Translating Results to ROI
Once clients have completed a Proof of Value with Pinpoint, our
OnPoint ROI calculator helps visualize the impact of implementing
smart growth and profitability strategies and visualizes actual
dollars gained. The calculator simulates future scenarios including
where insurers will be with or without using Pinpoint.
It also forecasts the impact of implementing growth and
experience strategies such as:
- Targeting new growth with lowest risk customers
- Avoiding risk through improved selection
- Making intelligent pre-renewal decisions
7
8. Sample Successes and Commercial Deployments
Carrier A Carrier B Carrier C Carrier D
Goal
Pre-renewal decision
prioritization; stopping premium
leakage
Targeted growth and carrier
non-renewal
Scoring leads from search engine
and embedded insurance
Targeted growth and pre-
underwriting prioritization
Model Home inspection Non-cat water pure premium Loss Ratio Claims frequency and severity
Outcome
30x decile spread on home
inspection premium leakage
Savings equal to 21% of premiums Savings equal to 10% of premiums Savings equal to 9 figures
8
9. We are extremely proud of our growing
clientele. These are the companies that are
making forward thinking strategic
investments – propelling the Property and
Casualty industry into the future.
Sample of Customer
Testimonials
“Pinpoint has provided game-changing new data to
drive markedly improved loss ratios through better
risk selection and claims handling.”
Analytics Team
AmTrust Financial
“After just a few weeks of evaluating Pinpoint’s
custom loss scores, we saw a significant
improvement in loss ratio, and in predictive
performance in our non-pay cancel model. In
addition, the explainability of lift in predictive
power yielded valuable insights. The Pinpoint team
is helpful, knowledgeable, and easy to work with.”
Alice Robinson
Chief Actuary, Metromile
“Pinpoint’s deep-learning platform allowed us to
predict non-cat homeowner’s losses at the
beginning of the customer journey for the first
time. Moreover, this score adds a remarkable
new incremental lift above and beyond our rating
model; it’s one of the most predictive factors
we’ve seen.”
Michael Pauletti
SVP and Chief Pricing and Actuarial Officer, CSE
Insurance
"Pinpoint provided significant predictive
advancement in the identification of a highly
important loss exposure. This enables Ohio
Mutual to better identify premium leakage and
loss mitigation opportunities in our
Homeowners book.”
Business Analytics Team
Ohio Mutual Insurance Group
9
10. Pinpoint puts the power of behavioral economics and deep learning into the hands of insurers, something they
have never had before. The process of applying deep learning to trillions of data points enables highly predictive
risk scores.
The result – individualized intelligence and a new path to profitable growth.
Pinpoint maintains data resources for 260 million US
adults, making propensity scores accessible to
carriers via batch onboarding and real-time API.
Pinpoint is fully compliant with CCPA, has continuous
SOC 2 Type II monitoring, does not scrape customers’
data, and has filed several patents for privacy-safe
data architecture.
The Proof of Value process
requires very little data and
only a few hours of work
from the carrier to be
completed. Clients validate
our model performance
during a 30-day proof of
value to evaluate both
individual lift performance
and combined lift on top of
existing models.
The data behind our process
is a mix of proprietary first-
party data and custom opt-in
data sourced from the most
reputable data providers,
curated specifically for the
insurance industry. And it
does not include protected
class data, geographic data or
credit.
The OnPoint platform is fully
automated and connects
outcomes to actuarial
distributions.
We provide best-in-class
identity resolution
capabilities.
10