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Chief Data & Analytics Officers, Insurance

September 15-16, 2020 | DoubleTree by Hilton Hotel, Tarrytown, New York

Download the Agenda PDF
Day 1
15th September
08:00

Registration & Coffee in the Exhibition Area

Registration & Coffee in the Exhibition Area

September 15 | 08:00 - 08:45

Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

September 15 | 08:45 - 09:00

Speaking:

09:00

Opening Keynote Presentation

Opening Keynote Presentation

September 15 | 09:00 - 09:25

Speaking:

09:25

Keynote Presentation: Revolutionizing the Claims Organization With AI

  • Can we reliability predict enough about claims to abandon the static rules and treat claims based on their objective measures of risk, complexity & severity?
  • We will discuss the choices between incremental claims improvement and the benefits of adopting new, AI-driven claims management capabilities
  • A high-level roadmap for consideration and how to measure evaluate the impact of the most promising AI-driven initiatives
  • How claims organization can actually develop their own AI skills independently or in partnership with a Data Science CoE

Speaking:

Neal Silbert

General Manager of Insurance, DataRobot

Keynote Presentation: Revolutionizing the Claims Organization With AI

September 15 | 09:25 - 09:55

  • Can we reliability predict enough about claims to abandon the static rules and treat claims based on their objective measures of risk, complexity & severity?
  • We will discuss the choices between incremental claims improvement and the benefits of adopting new, AI-driven claims management capabilities
  • A high-level roadmap for consideration and how to measure evaluate the impact of the most promising AI-driven initiatives
  • How claims organization can actually develop their own AI skills independently or in partnership with a Data Science CoE

Speaking:

Neal Silbert

DataRobot

09:55

Panel Discussion: How we Can We Overcome Organizational Siloes in Data & Analytics?

  • For years, there has been a focus on siloes within insurance data & analytics infrastructure – what can be done about the siloes that exist between different departments?
  • To what extent is there opportunity for cross-collaboration between claims, marketing, distribution etc?
  • Building a sense of community where there is little in terms of a defined career path
  • With all departments working on different models and problems, is there a possibility for learning and collaboration?
  • How can we overcome any conflict or struggle between the CDAO and multiple Heads within the Department?

Speaking:

Jim Young

Chief Data Officer General Insurance, AIG

Tom Warden

Tom Warden

Chief Data and Analytics Officer, EMPLOYERS

Bipin Chadha

AVP Data Science and Analytics, CopperPoint Insurance

Joel Atkins

AVP Analytics , CNA Insurance

Panel Discussion: How we Can We Overcome Organizational Siloes in Data & Analytics?

September 15 | 09:55 - 10:30

  • For years, there has been a focus on siloes within insurance data & analytics infrastructure – what can be done about the siloes that exist between different departments?
  • To what extent is there opportunity for cross-collaboration between claims, marketing, distribution etc?
  • Building a sense of community where there is little in terms of a defined career path
  • With all departments working on different models and problems, is there a possibility for learning and collaboration?
  • How can we overcome any conflict or struggle between the CDAO and multiple Heads within the Department?

Speaking:

Jim Young

AIG

Bipin Chadha

CopperPoint Insurance

Joel Atkins

CNA Insurance

Tom Warden

Tom Warden

EMPLOYERS

Track A > Insurance

10:30

Breakout Keynote: Overcoming Challenges in Implementing Data Lake

  • How to select the most effective mechanism for data to flow from one repository to another in the least disruptive way
  • How do we ensure strong data architecture?
  • Having an effective data management and data governance process in place to avoid ‘data swamp’
  • Is taking an agile approach to data lake development the key to launch programmes quickly?

Speaking:

Eric Truntz

Senior Principal, NEOS

Breakout Keynote: Overcoming Challenges in Implementing Data Lake

September 15 | 10:30 - 11:00

  • How to select the most effective mechanism for data to flow from one repository to another in the least disruptive way
  • How do we ensure strong data architecture?
  • Having an effective data management and data governance process in place to avoid ‘data swamp’
  • Is taking an agile approach to data lake development the key to launch programmes quickly?

Speaking:

Eric Truntz

NEOS

Track B > GeoInsurance

10:30

GeoInsurance Breakout Keynote Presentation: Driving Innovation in the Geospatial Sector

  • Making the most out of state-wide mapping
  • Strategies for combining different kinds of geospatial data to create a holistic outlook
  • GeoInsurance as force for good: how innovations in this space will lead to better risk assessment and allow customer to protect themselves

Speaking:

Shawn Jin

Head of Analytics, Bunker Hill Insurance

GeoInsurance Breakout Keynote Presentation: Driving Innovation in the Geospatial Sector

September 15 | 10:30 - 11:00

  • Making the most out of state-wide mapping
  • Strategies for combining different kinds of geospatial data to create a holistic outlook
  • GeoInsurance as force for good: how innovations in this space will lead to better risk assessment and allow customer to protect themselves

Speaking:

Shawn Jin

Bunker Hill Insurance

11:00

Mid-Morning Coffee & Networking in the Exhibition Area

Mid-Morning Coffee & Networking in the Exhibition Area

September 15 | 11:00 - 11:30

Speaking:

11:30

Keynote Presentation: Leveraging Analytics & AI for a Superior Omni-Channel Customer Experience

  • Designing and building onmi-channel communication strategies to establish competitive advantage & and prevent customer churn
  • Taking advantage of current and historical data to deliver the best possible customer experience
  • Strategies and tactics from real-life cases in insurance; lessons learned & validated best practices deployed in global settings
  • How to harness structured and unstructured data and deploy machine learning/deep learning in order to triage and personalize each customer’s experience & increase employee satisfaction organizational efficiencies
  • Building self-learning, scalable operating models that works across multiple customer segments, channels & personalized customer needs

Speaking:

Prashant Natarajan

Director of Data Science & Analytics, Unum

Keynote Presentation: Leveraging Analytics & AI for a Superior Omni-Channel Customer Experience

September 15 | 11:30 - 11:55

  • Designing and building onmi-channel communication strategies to establish competitive advantage & and prevent customer churn
  • Taking advantage of current and historical data to deliver the best possible customer experience
  • Strategies and tactics from real-life cases in insurance; lessons learned & validated best practices deployed in global settings
  • How to harness structured and unstructured data and deploy machine learning/deep learning in order to triage and personalize each customer’s experience & increase employee satisfaction organizational efficiencies
  • Building self-learning, scalable operating models that works across multiple customer segments, channels & personalized customer needs

Speaking:

Prashant Natarajan

Unum

11:55

Panel Discussion: Data Management Lessons Learned During Financial Transformation and Actuarial Transformation

  • Tactical and strategic lessons learned on: ingestion, mapping, metadata, star schemas, business process orchestration, data modeling, datalakes, data quality, reconciliation, managing business requirements
  • Dealing with system integrators and dealing with software vendors

Speaking:

Charles Mattson

Managing Director, Oracle

Panel Discussion: Data Management Lessons Learned During Financial Transformation and Actuarial Transformation

September 15 | 11:55 - 12:30

  • Tactical and strategic lessons learned on: ingestion, mapping, metadata, star schemas, business process orchestration, data modeling, datalakes, data quality, reconciliation, managing business requirements
  • Dealing with system integrators and dealing with software vendors

Speaking:

Charles Mattson

Oracle

Track A > Insurance

12:30

Breakout Keynote Presentation: How is the Continuing Evolution of Technology Changing the Insurance Landscape?

  • Sensor devices, home monitors, healthcare monitors: what impact has this had on customer engagement?
  • What steps should be taken to manage the growing amounts of data available to underwriters?
  • Effective ways to pilot new technology
  • Ensuring a culture of ethics and transparency with customers’ data

Speaking:

Asif Syed

VP Data Strategy, Hartford Steam Boiler

Breakout Keynote Presentation: How is the Continuing Evolution of Technology Changing the Insurance Landscape?

September 15 | 12:30 - 13:00

  • Sensor devices, home monitors, healthcare monitors: what impact has this had on customer engagement?
  • What steps should be taken to manage the growing amounts of data available to underwriters?
  • Effective ways to pilot new technology
  • Ensuring a culture of ethics and transparency with customers’ data

Speaking:

Asif Syed

Hartford Steam Boiler

Track B > GeoInsurance

12:30

GeoInsurance Breakout Keynote: Data Analytics and a Dynamic Earth

  • Climate change, sea level rise and the changing nature of storms are creating challenges for data analytics and geo-insurance
  • Jim will talk about the criticality of continuous updating of data sources and catastrophe models to effectively assess risk
  • Real examples of data quality challenges stemming from changing estimates of flood high water levels, storm surge levels, rainfall, post-hurricane inundation and tidal levels

Speaking:

Jim Albert

CEO, Neptune Flood

GeoInsurance Breakout Keynote: Data Analytics and a Dynamic Earth

September 15 | 12:30 - 13:00

  • Climate change, sea level rise and the changing nature of storms are creating challenges for data analytics and geo-insurance
  • Jim will talk about the criticality of continuous updating of data sources and catastrophe models to effectively assess risk
  • Real examples of data quality challenges stemming from changing estimates of flood high water levels, storm surge levels, rainfall, post-hurricane inundation and tidal levels

Speaking:

Jim Albert

Neptune Flood

1:00

Lunch & Networking in the Exhibition Area

Lunch & Networking in the Exhibition Area

September 15 | 13:00 - 14:00

Speaking:

Track A

2:00

Discussion Group 1A: Is There a Talent Shortage in Insurance Data & Analytics and What are the Best Ways of Dealing With it?

  • Is it viable to re-organize teams & roles and upskill current employees to cope with a potential talent deficit?
  • Geographic factors in hiring: where can we look for new talent?

Speaking:

Tom White

Former VP Clinical Informatics and Data Strategy , CDPHP

Kirit Kottam

Director Data Science, AI & Advanced Analytics, John Hancock

Discussion Group 1A: Is There a Talent Shortage in Insurance Data & Analytics and What are the Best Ways of Dealing With it?

September 15 | 14:00 - 14:45

  • Is it viable to re-organize teams & roles and upskill current employees to cope with a potential talent deficit?
  • Geographic factors in hiring: where can we look for new talent?

Speaking:

Tom White

CDPHP

Kirit Kottam

John Hancock

Track B

2:00

Discussion Group 1B: What are the Best Ways to Engage With Business Partners?

  • Businesses are built around rigid project plans but data & analytics doesn’t always work this way: what are the best ways to adapt when business priorities from both data & organization goals change?
  • Is better education the key to creating better communication paths?

Speaking:

Xu Cheng

Director Data & Analytics, The Hartford

Daniel Marzouk

SVP Data Science, Aegis General Insurance Agency

Discussion Group 1B: What are the Best Ways to Engage With Business Partners?

September 15 | 14:00 - 14:45

  • Businesses are built around rigid project plans but data & analytics doesn’t always work this way: what are the best ways to adapt when business priorities from both data & organization goals change?
  • Is better education the key to creating better communication paths?

Speaking:

Daniel Marzouk

Aegis General Insurance Agency

Xu Cheng

The Hartford

Track C GeoInsurance

2:00

Discussion Group 1C: Risk Assessment Within GeoInsurance - A Current Evaluation

  • How effective are the current methodologies of risk assessment with geospatial data?
  • Have the importance of rare events and natural disasters been taken into account?
  • Ethical considerations the acquisition and use of geospatial data within property & casualty sector

Speaking:

Jim Albert

CEO, Neptune Flood

Ben Zimmerman, American Family Insurance (1)

Ben Zimmerman

Innovation Consultant, American Family Insurance

Discussion Group 1C: Risk Assessment Within GeoInsurance - A Current Evaluation

September 15 | 14:00 - 14:45

  • How effective are the current methodologies of risk assessment with geospatial data?
  • Have the importance of rare events and natural disasters been taken into account?
  • Ethical considerations the acquisition and use of geospatial data within property & casualty sector

Speaking:

Ben Zimmerman, American Family Insurance (1)

Ben Zimmerman

American Family Insurance

Jim Albert

Neptune Flood

Track A

2:45

Discussion Group 2A: Adapting to Customer Demands With Agility and Flexibility

  • How can we build the flexibility to be able to adapt to customer demands and leverage new technologies?
  • Creating enterprise business goals that align with business goals

Speaking:

Tom Warden

Tom Warden

Chief Data and Analytics Officer, EMPLOYERS

Daniel Marzouk

SVP Data Science, Aegis General Insurance Agency

Discussion Group 2A: Adapting to Customer Demands With Agility and Flexibility

September 15 | 14:45 - 15:30

  • How can we build the flexibility to be able to adapt to customer demands and leverage new technologies?
  • Creating enterprise business goals that align with business goals

Speaking:

Daniel Marzouk

Aegis General Insurance Agency

Tom Warden

Tom Warden

EMPLOYERS

Track B

2:45

Discussion Group 2B: Increasing Organization Trust in AI & Machine Learning

  • What are the best methods for increasing employees’ trust in an unfamiliar area?
  • Creating transparency and scaling up AI & Machine Learning

Speaking:

Mladen Golubovic

TPM Artificial Intelligence, Innovation, Data Strategy & Transformation, QBE North America

Tom White

Former VP Clinical Informatics and Data Strategy , CDPHP

Jeffrey Lee

VP Senior Pricing Actuary - Data Intelligence, Swiss Re

Kirit Kottam

Director Data Science, AI & Advanced Analytics, John Hancock

Discussion Group 2B: Increasing Organization Trust in AI & Machine Learning

September 15 | 14:45 - 15:30

  • What are the best methods for increasing employees’ trust in an unfamiliar area?
  • Creating transparency and scaling up AI & Machine Learning

Speaking:

Tom White

CDPHP

Kirit Kottam

John Hancock

Jeffrey Lee

Swiss Re

Mladen Golubovic

QBE North America

Track C GeoInsurance

2:45

Discussion Group 2C: Harnessing the Power of Geospatial Data for Underwriting

  • How can advancements in geospatial technology change the underwriting process?
  • How can the value of this data be embraced to better understand risk?

Speaking:

Bryon Kenne

CoE Lead - External & Digital Data, AXA XL

Aleem Lakhani

Executive VP Speciality Risk , AmTrust North America

Discussion Group 2C: Harnessing the Power of Geospatial Data for Underwriting

September 15 | 14:45 - 15:30

  • How can advancements in geospatial technology change the underwriting process?
  • How can the value of this data be embraced to better understand risk?

Speaking:

Bryon Kenne

AXA XL

Aleem Lakhani

AmTrust North America

3:30

Afternoon Tea & Networking in the Exhibition Area

Afternoon Tea & Networking in the Exhibition Area

September 15 | 15:30 - 16:00

Speaking:

3:55

Keynote Presentation: Breaking Down Business Transformation – What do you Really Need to Know?

  • Why do so many business transformation programmes fail: what mistakes do organizations make?
  • Storytelling techniques to build narrative
  • Aligning organizational attributes
  • Project and team structures that work

Speaking:

Jerry Gupta

Jerry Gupta

SVP, Digital Analyst Catalyst, Swiss Re

Keynote Presentation: Breaking Down Business Transformation – What do you Really Need to Know?

September 15 | 15:55 - 16:25

  • Why do so many business transformation programmes fail: what mistakes do organizations make?
  • Storytelling techniques to build narrative
  • Aligning organizational attributes
  • Project and team structures that work

Speaking:

Jerry Gupta

Jerry Gupta

Swiss Re

4:25

Keynote Presentation: How to Successfully Implement Predictive Analytics

  • What is predictive analytics (modern analytics, ML, advanced analytics and like terms)
  • Modeling as an input-throughput-output process (requiring business as well as technical participation)
  • Blessings & more importantly pitfalls of modern machine learning vs traditional statistical modeling
  • Change management is a must: how a model will impact an organization depends on how much effort the business invests more than how technically powerful the model is
  • Consequences of models: assessing unfair discrimination, people impacts of models usage and alternate uses of models once built

Speaking:

Tom Fletcher

VP Data & Analytics, Partner Re

Keynote Presentation: How to Successfully Implement Predictive Analytics

September 15 | 16:25 - 16:50

  • What is predictive analytics (modern analytics, ML, advanced analytics and like terms)
  • Modeling as an input-throughput-output process (requiring business as well as technical participation)
  • Blessings & more importantly pitfalls of modern machine learning vs traditional statistical modeling
  • Change management is a must: how a model will impact an organization depends on how much effort the business invests more than how technically powerful the model is
  • Consequences of models: assessing unfair discrimination, people impacts of models usage and alternate uses of models once built

Speaking:

Tom Fletcher

Partner Re

Track B > GeoInsurance

4:25

GeoInsurance Breakout Keynote

Speaking:

Ben Zimmerman, American Family Insurance (1)

Ben Zimmerman

Innovation Consultant, American Family Insurance

GeoInsurance Breakout Keynote

September 15 | 16:25 - 16:50

Speaking:

Ben Zimmerman, American Family Insurance (1)

Ben Zimmerman

American Family Insurance

Track B > GeoInsurance

4:50

GeoInsurance Breakout Keynote: How Geospatial Data Science Will Revolutionize the Insurance Industry in 2020 and Beyond

  • Why accurate & timely location-based data analysis-ready is key to insurance analytics
  • Machine learning has revolutionized geospatial data science; how can we deal with the challenges?
  • How to harness catastrophe modeling in advance for risk assessment
  • Leveraging location analytics to transform your company’s data into insight

Speaking:

George Percivall

CTO & Chief Engineer, Open Geospatial Consortium

GeoInsurance Breakout Keynote: How Geospatial Data Science Will Revolutionize the Insurance Industry in 2020 and Beyond

September 15 | 16:50 - 17:25

  • Why accurate & timely location-based data analysis-ready is key to insurance analytics
  • Machine learning has revolutionized geospatial data science; how can we deal with the challenges?
  • How to harness catastrophe modeling in advance for risk assessment
  • Leveraging location analytics to transform your company’s data into insight

Speaking:

George Percivall

Open Geospatial Consortium

Track A > Insurance

4:50

Breakout Panel Discussion: How is the Insurance Industry at a Macro Level Going to Affect Data & Analytics?

  • How is the focus on ESG (environmental, social & governance) factors going to affect data & analytics
  • How can data & analytics help to protect top-line growth and profitability against an increasingly competitive and unstable market environment?
  • Are we likely to see an increase in InsureTech partnerships in the next ten years?
  • How is the reinsurance industry likely to respond to larger payouts?

Speaking:

Xu Cheng

Director Data & Analytics, The Hartford

Bipin Chadha

AVP Data Science and Analytics, CopperPoint Insurance

Don Gray

Former Chief Data & Advanced Analytics Officer, S&P Global Ratings

Aleem Lakhani

Executive VP Speciality Risk , AmTrust North America

Breakout Panel Discussion: How is the Insurance Industry at a Macro Level Going to Affect Data & Analytics?

September 15 | 16:50 - 17:25

  • How is the focus on ESG (environmental, social & governance) factors going to affect data & analytics
  • How can data & analytics help to protect top-line growth and profitability against an increasingly competitive and unstable market environment?
  • Are we likely to see an increase in InsureTech partnerships in the next ten years?
  • How is the reinsurance industry likely to respond to larger payouts?

Speaking:

Bipin Chadha

CopperPoint Insurance

Xu Cheng

The Hartford

Don Gray

S&P Global Ratings

Aleem Lakhani

AmTrust North America

5:25

Chair's Closing Remarks

Chair's Closing Remarks

September 15 | 17:25 - 17:30

Speaking:

5:30

Drinks Reception & Speakers Clinics in the Exhibition Area

Didn’t get a chance to ask your question to our Keynote Speakers? Not to worry! During the drinks reception, selected speakers from across day one will be available to further discuss their presentations, and conduct an informal Q&A with all attendees. Look out for signage to identify where each speaker is, and approach them with your questions and comments.

Drinks Reception & Speakers Clinics in the Exhibition Area

September 15 | 17:30 - 18:30

Didn’t get a chance to ask your question to our Keynote Speakers? Not to worry! During the drinks reception, selected speakers from across day one will be available to further discuss their presentations, and conduct an informal Q&A with all attendees. Look out for signage to identify where each speaker is, and approach them with your questions and comments.

Speaking:

6:30

End of Day One

End of Day One

September 15 | 18:30

Speaking:

Day 2
16th September
08:00

Registration & Coffee in the Exhibition Area

Registration & Coffee in the Exhibition Area

September 16 | 08:00 - 08:45

Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

September 16 | 08:45 - 09:00

Speaking:

09:00

Keynote Presentation: Applied Artificial Intelligence (Insurance Industry)

  • Deep Learning landscape – overview
  • Research trends & key industry drivers
  • Classical machine learning – capability assessment
  • Building effective data science teams
  • Utilizing research & open source to boost productivity and reduce delivery risks

Speaking:

Mladen Golubovic

TPM Artificial Intelligence, Innovation, Data Strategy & Transformation, QBE North America

Keynote Presentation: Applied Artificial Intelligence (Insurance Industry)

September 16 | 09:00 - 09:25

  • Deep Learning landscape – overview
  • Research trends & key industry drivers
  • Classical machine learning – capability assessment
  • Building effective data science teams
  • Utilizing research & open source to boost productivity and reduce delivery risks

Speaking:

Mladen Golubovic

QBE North America

09:25

Keynote Presentation: The Transformation of The Co-Operators into an Insight-Driven Organization

  • Making the transition to embed analytics into everything we do
  • How insights based on factual data have become the ‘key to win’ in the organization
  • Integrating advanced analytics into underwriting, digital, claims, client contact & more
  • Some concrete examples of what we did/what we are doing

Speaking:

Dominic Fortin

AVP Business Intelligence Solutions & Data Strategy, Co-Operators

Keynote Presentation: The Transformation of The Co-Operators into an Insight-Driven Organization

September 16 | 09:25 - 09:50

  • Making the transition to embed analytics into everything we do
  • How insights based on factual data have become the ‘key to win’ in the organization
  • Integrating advanced analytics into underwriting, digital, claims, client contact & more
  • Some concrete examples of what we did/what we are doing

Speaking:

Dominic Fortin

Co-Operators

09:50

Keynote Presentation: Building an Effective Data Governance Framework for Insurance

  • Are data management practices that rely on internal data and rigid infrastructure becoming outdated?
  • How to implement a comprehensive strategy for enterprise data governance & usage of third party data
  • Creating a culture where everyone is responsible for data quality
  • Striving not for perfection but for what will make the most impact in your organization
  • How useful is the “carrot and stick” approach when it comes to changing organization behaviors around data governance?

Speaking:

Brad Lipic

VP Head of Global Data Strategy , Reinsurance Group of America

Keynote Presentation: Building an Effective Data Governance Framework for Insurance

September 16 | 09:50 - 10:15

  • Are data management practices that rely on internal data and rigid infrastructure becoming outdated?
  • How to implement a comprehensive strategy for enterprise data governance & usage of third party data
  • Creating a culture where everyone is responsible for data quality
  • Striving not for perfection but for what will make the most impact in your organization
  • How useful is the “carrot and stick” approach when it comes to changing organization behaviors around data governance?

Speaking:

Brad Lipic

Reinsurance Group of America

10:15

Panel Discussion: How Can We Create a Holistic View of Information Governance in Insurance?

  • With so many data ‘pockets’, is it possible to create an overarching view of data governance, information security & compliance?
  • Analytics governance & ethical machine learning: is it ever possible to have an 100% unbiased machine learning algorithm?
  • Producing ‘data governance by design’ before embarking on advanced data science projects
  • Does metadata hold the key to assessing enterprise data quality?

Speaking:

Dante Tellez

Chief Data & Analytics Officer Mexico, Chubb

Pavan Dhavaleshwar

Global Head of Data Analytics & Monitoring - Global Compliance Group, AIG

Sean Keenan

VP Model Risk Governance Data & Analytics , New York Life

Tom White

Former VP Clinical Informatics and Data Strategy , CDPHP

Ashish Haruray

Senior Center of Excellence Leader for Data Governance, AXA XL

Srinivasan Sankar

Srinivasan Sankar

Enterprise Data Leader, Hanover Insurance Group

Panel Discussion: How Can We Create a Holistic View of Information Governance in Insurance?

September 16 | 10:15 - 10:50

  • With so many data ‘pockets’, is it possible to create an overarching view of data governance, information security & compliance?
  • Analytics governance & ethical machine learning: is it ever possible to have an 100% unbiased machine learning algorithm?
  • Producing ‘data governance by design’ before embarking on advanced data science projects
  • Does metadata hold the key to assessing enterprise data quality?

Speaking:

Dante Tellez

Chubb

Sean Keenan

New York Life

Ashish Haruray

AXA XL

Srinivasan Sankar

Srinivasan Sankar

Hanover Insurance Group

Tom White

CDPHP

Pavan Dhavaleshwar

AIG

10:50

Mid-Morning Coffee in the Exhibition Area

Mid-Morning Coffee in the Exhibition Area

September 16 | 10:50 - 11:20

Speaking:

11:20

Keynote Presentation: Digital Transformation – Opening New Pathways

  • Most companies are failing to achieve desired ROI from data and transformation programs
  • The predominant failure mode is that almost everyone is trying to utilize new data and tech capabilities within their well-worn existing operating models
  • The session will emphasize the superior advancements that can be achieved by letting the advanced data and tech capabilities take them in completely new directors

Speaking:

Don Gray

Former Chief Data & Advanced Analytics Officer, S&P Global Ratings

Keynote Presentation: Digital Transformation – Opening New Pathways

September 16 | 11:20 - 11:45

  • Most companies are failing to achieve desired ROI from data and transformation programs
  • The predominant failure mode is that almost everyone is trying to utilize new data and tech capabilities within their well-worn existing operating models
  • The session will emphasize the superior advancements that can be achieved by letting the advanced data and tech capabilities take them in completely new directors

Speaking:

Don Gray

S&P Global Ratings

11:45

Keynote Presentation: Unleashing the Potential of Successful Application of Recommender Systems

  • Recommender systems are one of the most successful and widespread applications of machine learning technologies in business as they have become a way to stand out significantly from competitors
  • Recommender systems are algorithms aimed at suggesting relevant items to users – this includes movies to watch, text to read and products to buy
  • This presentation will review how recommender systems have the potential to transform the insurance brokerage industry
  • Use cases in which insurance brokers and P&C insurers can leverage machine learning enabled recommender systems to improve matching of clients with risk appetite

Speaking:

Alejandro Zarate

SVP Analytics & Business Intelligence, Marsh

Keynote Presentation: Unleashing the Potential of Successful Application of Recommender Systems

September 16 | 11:45 - 12:10

  • Recommender systems are one of the most successful and widespread applications of machine learning technologies in business as they have become a way to stand out significantly from competitors
  • Recommender systems are algorithms aimed at suggesting relevant items to users – this includes movies to watch, text to read and products to buy
  • This presentation will review how recommender systems have the potential to transform the insurance brokerage industry
  • Use cases in which insurance brokers and P&C insurers can leverage machine learning enabled recommender systems to improve matching of clients with risk appetite

Speaking:

Alejandro Zarate

Marsh

12:10

Keynote Presentation: How Can Deep Learning be Utilized to Assist With Fraud Detection, Pricing and Customer Analytics?

  • Harnessing deep learning to provide more competitive pricing to customer in a highly competitive landscape
  • Identifying customer loyalty behaviors in order to define strategy
  • Focusing on the infrastructure, automation & processes below the surface which must be rolled out first
  • Maintaining regulatory & ethical integrity of deep learning

Keynote Presentation: How Can Deep Learning be Utilized to Assist With Fraud Detection, Pricing and Customer Analytics?

September 16 | 12:10 - 12:35

  • Harnessing deep learning to provide more competitive pricing to customer in a highly competitive landscape
  • Identifying customer loyalty behaviors in order to define strategy
  • Focusing on the infrastructure, automation & processes below the surface which must be rolled out first
  • Maintaining regulatory & ethical integrity of deep learning

Speaking:

12:35

Lunch & Networking in the Exhibition Area

Lunch & Networking in the Exhibition Area

September 16 | 12:35 - 13:35

Speaking:

Track A

1:35

Discussion Group 3A: Best Practice in Scaling Up Smaller Systems for Enterprise-Wide Benefit

  • Ensuring that the focus is on people, process & technology
  • Establishing enterprise-wide governance processes throughout different business units

Speaking:

Julia Romero

Lead for Actuarial Engineering & Advanced Modeling, Haven Life

Jerry Gupta

Jerry Gupta

SVP, Digital Analyst Catalyst, Swiss Re

Matthew Duke

Head of Pricing & Growth Analytics, Blackboard Insurance

Discussion Group 3A: Best Practice in Scaling Up Smaller Systems for Enterprise-Wide Benefit

September 16 | 13:35 - 14:20

  • Ensuring that the focus is on people, process & technology
  • Establishing enterprise-wide governance processes throughout different business units

Speaking:

Jerry Gupta

Jerry Gupta

Swiss Re

Matthew Duke

Blackboard Insurance

Julia Romero

Haven Life

Track B

1:35

Discussion Group 3B: The Growing Importance of AI in Claims Analytics

  • Making sure that better touchpoints are opened to customers as the claims process is accelerated
  • How we integrate new technologies such as machine learning, NLP and robotic process automation whilst maintaining compatibility with existing legacy systems?

Speaking:

Arik Nabie

Chief Information Officer, American Transit Insurance Company

Sandeep Maini

Head of Strategy & Architecture, QBE Insurance

Wenjie Chen

Director Data Science, AIG

Discussion Group 3B: The Growing Importance of AI in Claims Analytics

September 16 | 13:35 - 14:20

  • Making sure that better touchpoints are opened to customers as the claims process is accelerated
  • How we integrate new technologies such as machine learning, NLP and robotic process automation whilst maintaining compatibility with existing legacy systems?

Speaking:

Sandeep Maini

QBE Insurance

Arik Nabie

American Transit Insurance Company

Wenjie Chen

AIG

Track C GeoInsurance

1:35

Discussion Group 3C: How is Climate Change Altering the Way Insurers Deal With RIsk?

  • Losses from natural disasters in recent years have been unprecedented: how should insurers and reinsurers respond?
  • How can geospatial data be harnessed to allow insurers to prepare?

Speaking:

Turab Hussain

Chief Risk & Actuarial Officer, Partner Re

Shawn Jin

Head of Analytics, Bunker Hill Insurance

Discussion Group 3C: How is Climate Change Altering the Way Insurers Deal With RIsk?

September 16 | 13:35 - 14:20

  • Losses from natural disasters in recent years have been unprecedented: how should insurers and reinsurers respond?
  • How can geospatial data be harnessed to allow insurers to prepare?

Speaking:

Shawn Jin

Bunker Hill Insurance

Turab Hussain

Partner Re

Track A

2:20

Discussion Group 4A: Creating a Data Ethics Framework That Facilitates Innovation

  • Data ethics and innovation are not mutually exclusive: what are the best ways to build a structure that works for your organization
  • Taking into account ethics at all stages of the AI journey, but is it ever possible totally unbiased AI?
  • Is it possible we have become over fixated on regulation at the expense of ethics? How can we balance the two?

Speaking:

Asif Syed

VP Data Strategy, Hartford Steam Boiler

Tom Leonard

Executive Counsel/Personal Insurance Privacy Officer, Travelers

Discussion Group 4A: Creating a Data Ethics Framework That Facilitates Innovation

September 16 | 14:20 - 15:05

  • Data ethics and innovation are not mutually exclusive: what are the best ways to build a structure that works for your organization
  • Taking into account ethics at all stages of the AI journey, but is it ever possible totally unbiased AI?
  • Is it possible we have become over fixated on regulation at the expense of ethics? How can we balance the two?

Speaking:

Asif Syed

Hartford Steam Boiler

Tom Leonard

Travelers

Track B

2:20

Discussion Group 4B: Unleashing the Power of ‘Dark Data’ and Analytics Utilizing Various Data Sources

  • How can we mine under-used ‘dark data’ that is potentially rich in information from claims, finance and transactional data?
  • Is it possible to harness data for alternative analytics purposes – actuarial data is used for risks and pricing, but can it have alternative uses in the customer experience, for example?

Speaking:

Arik Nabie

Chief Information Officer, American Transit Insurance Company

Matthew Duke

Head of Pricing & Growth Analytics, Blackboard Insurance

Tom Warden

Tom Warden

Chief Data and Analytics Officer, EMPLOYERS

Discussion Group 4B: Unleashing the Power of ‘Dark Data’ and Analytics Utilizing Various Data Sources

September 16 | 14:20 - 15:05

  • How can we mine under-used ‘dark data’ that is potentially rich in information from claims, finance and transactional data?
  • Is it possible to harness data for alternative analytics purposes – actuarial data is used for risks and pricing, but can it have alternative uses in the customer experience, for example?

Speaking:

Matthew Duke

Blackboard Insurance

Arik Nabie

American Transit Insurance Company

Tom Warden

Tom Warden

EMPLOYERS

Track C GeoInsurance

2:20

Discussion Group 4C: Maximizing the Value of Geospatial Data to Non-Technical Employees

  • What are the best methods of getting employees with non-technical backgrounds to be able to utilize geospatial data?
  • Beyond visualization: how can employees be encouraged to apply geospatial data in their day to day decision making?

Discussion Group 4C: Maximizing the Value of Geospatial Data to Non-Technical Employees

September 16 | 14:20 - 15:05

  • What are the best methods of getting employees with non-technical backgrounds to be able to utilize geospatial data?
  • Beyond visualization: how can employees be encouraged to apply geospatial data in their day to day decision making?

Speaking:

3:05

Afternoon Tea & Networking in the Exhibition Area

Afternoon Tea & Networking in the Exhibition Area

September 16 | 15:05 - 15:35

Speaking:

3:35

Keynote Presentation: How Can We Build a ‘Data Science Mindset’ Within an Organization?

  • Practical strategies for getting employees to build data into their everyday jobs · How can we overcome cultural ‘territorial mentality’
  • How helpful is the concept of ‘citizen data scientists’?
  • What are the potential opportunities for better education and to connect different departments?

Speaking:

Dante Tellez

Chief Data & Analytics Officer Mexico, Chubb

Keynote Presentation: How Can We Build a ‘Data Science Mindset’ Within an Organization?

September 16 | 15:35 - 16:00

  • Practical strategies for getting employees to build data into their everyday jobs · How can we overcome cultural ‘territorial mentality’
  • How helpful is the concept of ‘citizen data scientists’?
  • What are the potential opportunities for better education and to connect different departments?

Speaking:

Dante Tellez

Chubb

4:00

Keynote Presentation: Overcoming the ‘Small Data Problem’ in Insurance?

  • Some insurers only interact with customers once or twice per year: what can be done to bridge the gap?
  • Is there a ‘small data problem’ within actuarial and underwriting?
  • Building more information for AI models, whilst also maintaining data quality
  • Dealing with security and ethical issues arising from third-party data

Keynote Presentation: Overcoming the ‘Small Data Problem’ in Insurance?

September 16 | 16:00 - 16:25

  • Some insurers only interact with customers once or twice per year: what can be done to bridge the gap?
  • Is there a ‘small data problem’ within actuarial and underwriting?
  • Building more information for AI models, whilst also maintaining data quality
  • Dealing with security and ethical issues arising from third-party data

Speaking:

4:25

Panel Discussion: Cultivating an Organizational Culture of Compliance in the Wake of CCPA

  • Getting to grips with the new risks & benefits arising out of CCPA legislation
  • Will further states adopt such regulations? Are they likely to be as stringent as CCPA and the European equivalent GDPR?
  • With customers now increasingly aware they have a say in how their data has used, how has this changed the way we do business?
  • Are advances in technology overtaking regulation? Should we be coming up with our own ‘Best Practice Principles’?

Speaking:

Tom Fletcher

VP Data & Analytics, Partner Re

Tom Leonard

Executive Counsel/Personal Insurance Privacy Officer, Travelers

Panel Discussion: Cultivating an Organizational Culture of Compliance in the Wake of CCPA

September 16 | 16:25 - 17:00

  • Getting to grips with the new risks & benefits arising out of CCPA legislation
  • Will further states adopt such regulations? Are they likely to be as stringent as CCPA and the European equivalent GDPR?
  • With customers now increasingly aware they have a say in how their data has used, how has this changed the way we do business?
  • Are advances in technology overtaking regulation? Should we be coming up with our own ‘Best Practice Principles’?

Speaking:

Tom Leonard