Registration & Coffee in the Exhibition Area
September 15 | 08:00 - 08:45
Chief Data & Analytics Officers, Insurance
September 15-16, 2020 | DoubleTree by Hilton Hotel, Tarrytown, New York
Day 1
15th September
15th September
08:00
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
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
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?
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?
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
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
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
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
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
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?
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?
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
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
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
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
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
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?
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
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
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
Track B > GeoInsurance
4:25
GeoInsurance Breakout Keynote
Speaking:
Ben Zimmerman
Innovation Consultant, 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
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?
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
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
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
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?
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
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?
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
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
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
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
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?
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?
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?
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
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?
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?
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’?