Registration & Networking in the Exhibition Area
June 11 | 08:00 - 09:00
CDAOI Insurance
June 11-12 | W Hoboken, NJ
Day 1
11 June
11 June
08:00
09:00
Chairman's Opening Remarks
Chairman's Opening Remarks
June 11 | 09:00 - 09:15
Speaking:
09:15
Opening CDO Keynote: Company Evolution - Beyond the Traditional Scope to Data Monetization
- Understanding the value of your company's enterprise data to realize revenue opportunities
- What business models are available for data monetization, and which is right for your business?
- The importance of easily accessible data, in a scalable format - In what ways can you utilize under used data to increase its value?
- Strategies for monetizing customer interaction data – the importance of lifetime customer value and not just short term gains discussed
Speaking:
Joe Vellaiparambil
Chief Data and Analytics Officer, AXA
Opening CDO Keynote: Company Evolution - Beyond the Traditional Scope to Data Monetization
June 11 | 09:15 - 09:45
- Understanding the value of your company's enterprise data to realize revenue opportunities
- What business models are available for data monetization, and which is right for your business?
- The importance of easily accessible data, in a scalable format - In what ways can you utilize under used data to increase its value?
- Strategies for monetizing customer interaction data – the importance of lifetime customer value and not just short term gains discussed
09:45
Keynote Presentation: Seven Habits of a Highly Effective CDAO
- Create detailed communication strategy (with various levels of stakeholders)
- Obtain and document value from data & analytics projects · Implement a popular company-wide education program on Data Science and AI
- Organize your team well: Support but do not disintermediate data scientists
- Other concrete tips on how to make a data/analytics function successful in a complex organization
Speaking:
Glenn Hofmann
Chief Analytics Officer, New York Life
Keynote Presentation: Seven Habits of a Highly Effective CDAO
June 11 | 09:45 - 10:15
- Create detailed communication strategy (with various levels of stakeholders)
- Obtain and document value from data & analytics projects · Implement a popular company-wide education program on Data Science and AI
- Organize your team well: Support but do not disintermediate data scientists
- Other concrete tips on how to make a data/analytics function successful in a complex organization
10:15
Panel Discussion: Getting the Basics Right With AI & Machine Learning
- Reverse the traditional order: finding business use cases for AI and big data before it is acquired
- How to actually define AI or machine learning and what it is going to do for your organization
- Getting ‘hygiene’ factors in place: making sure that you have the correct infrastructure and operations
Speaking:
Atul Kapoor
Director of Risk Analytics & Modeling , Genworth Financial
Calvin Strong
VP Claims Operations , MetLife
Scott Cohanpour
Data Officer , Speciality Insurance Division of Munich Re America
Andrew Sohn
Former SVP, Global Digital and Analytics Services, Crawford and Company
Panel Discussion: Getting the Basics Right With AI & Machine Learning
June 11 | 10:15 - 10:45
- Reverse the traditional order: finding business use cases for AI and big data before it is acquired
- How to actually define AI or machine learning and what it is going to do for your organization
- Getting ‘hygiene’ factors in place: making sure that you have the correct infrastructure and operations
10:45
Mid-Morning Coffee Break & Networking Break in the Exhibition Area
Mid-Morning Coffee Break & Networking Break in the Exhibition Area
June 11 | 10:45 - 11:15
Speaking:
11:15
Keynote Presentation: Data Evolution and the Tug of War With IT
- The valuation of firms today is not as it used to be. Our landscape of large monopolies today have different characteristics and we need to consider what that means for how we value firms in every industry
- Firms are responding with a shift at the executive levels and the c-suite continuum from CIO, CTO, CDO, CAO, etc. has been continuously evolving
- The silent changes a firm goes through to try to penetrate the new valuation model of our firms has resulted in silent tug of wars. The simple questions of ‘what is data’ vs. ‘what is IT’ has left colleagues in our industry in limbo
- We can transform our firms to increase our innovation premium as long as we make some courageous tradeoffs. It’s all about where we want to be in 2-4 Years
Speaking:
Henna Karna
Chief Data Officer , AXA XL
Keynote Presentation: Data Evolution and the Tug of War With IT
June 11 | 11:15 - 11:45
- The valuation of firms today is not as it used to be. Our landscape of large monopolies today have different characteristics and we need to consider what that means for how we value firms in every industry
- Firms are responding with a shift at the executive levels and the c-suite continuum from CIO, CTO, CDO, CAO, etc. has been continuously evolving
- The silent changes a firm goes through to try to penetrate the new valuation model of our firms has resulted in silent tug of wars. The simple questions of ‘what is data’ vs. ‘what is IT’ has left colleagues in our industry in limbo
- We can transform our firms to increase our innovation premium as long as we make some courageous tradeoffs. It’s all about where we want to be in 2-4 Years
11:45
Keynote Presentation: Great Expectations - Using Data to Respond to Customer Needs and Personalise the Process in Insurance
- The insurance industry is changing to respond to customer needs first: what should we do to respond?
- Creating a more personalized experience for the consumer to create a personal process to impact the bottom line
- Analyzing the processes to put into place for a better consumer focus
Speaking:
Guru Rao
Chief Data & Analytics Officer, FBAlliance Insurance Company
Keynote Presentation: Great Expectations - Using Data to Respond to Customer Needs and Personalise the Process in Insurance
June 11 | 11:45 - 12:15
- The insurance industry is changing to respond to customer needs first: what should we do to respond?
- Creating a more personalized experience for the consumer to create a personal process to impact the bottom line
- Analyzing the processes to put into place for a better consumer focus
12:15
Panel Discussion: Assimilating Data and Analytics into Business Processes
- Using data and analytics as transformative processes to change behavior
- Bridging the gap between data scientists and the leadership team
- How to utilize a combination of active change management processes and incentivizing employees to adapt
Speaking:
Cindy Forbes
Chief Analytics Officer , Manulife Financial
Lorenzo Ball
VP Data Strategy & Analytics , Ameritas
Katya Hall
Sr. Manager, Enterprise Data Science & Analytics, CUNA Mutual
Isa Terzi
VP, Global Analytics and Reporting Lead, , Berkshire Hathaway Specialty Insurance
Bijesh Jacob
Head of Technology & Standards , ACORD
Panel Discussion: Assimilating Data and Analytics into Business Processes
June 11 | 12:15 - 12:45
- Using data and analytics as transformative processes to change behavior
- Bridging the gap between data scientists and the leadership team
- How to utilize a combination of active change management processes and incentivizing employees to adapt
12:45
Lunch & Networking in the Exhibition Area
Lunch & Networking in the Exhibition Area
June 11 | 12:45 - 13:45
Speaking:
1:45
Discussion Group 1A: AI and the Customer Focus
How can insurance companies best utilize new technologies to improve the customer journey?
Speaking:
Richard McCathron
Chief Insurance Officer , Hippo Insurance
Jerry Gupta
SVP, Digital Analyst Catalyst, Swiss Re
Dean Cowger
VP Information Management and Analytics , Travelers
Jim Albert
CEO, Neptune Flood Insurance
1:45
Discussion Group 1C: Leveraging Investigative Intelligence to Combat Fraud
Making the most of data for detection, investigation and mitigation of fraud in the insurance industry
Speaking:
John Randles
CEO, Siren
1:45
Discussion Group 1B: Data Management for AI
Getting effective data strategy and data management processes in place for AI
Speaking:
Asif Syed
VP Data Strategy, Hartford Steam Boiler
Isa Terzi
VP, Global Analytics and Reporting Lead, , Berkshire Hathaway Specialty Insurance
Andrew Sohn
Former SVP, Global Digital and Analytics Services, Crawford and Company
Tom White
VP Clinical Informatics and Data Strategy , CDPHP
2:30
Discussion Group 2A: AI as a Business Advantage
Enhancing the benefit of AI throughout the value chain and ensuring plans are scalable to the business
Speaking:
Anna Foat
Director, Global Transformation, Sun Life Financial
Jerry Gupta
SVP, Digital Analyst Catalyst, Swiss Re
David Hopewell
Chief Data and Innovation Officer , Transamerica
Joe Vellaiparambil
Chief Data and Analytics Officer, AXA
2:30
Discussion Group 2B: Data Privacy
Navigating the data ethics and inter-state data compliance maze
Speaking:
Todd W. Lehmann
Vice President & Chief Actuary, Quincy Mutual Group
Andrew Sohn
Former SVP, Global Digital and Analytics Services, Crawford and Company
2:30
Discussion Group 2C: Fighting Fraud
Improving fraud detection accuracy with predictive analytics
Speaking:
Marta Magnuszewska
Senior Analytics Leader Claims Organization , Allstate Insurance
Ashish Kohad
AVP, Predictive Analytics and Data Science, Zurich North America
Nancy Hom
Head of Global Audit Data & Analytics , MetLife
3:15
Afternoon Tea & Networking in the Exhibition Area
Afternoon Tea & Networking in the Exhibition Area
June 11 | 15:15 - 15:45
Speaking:
3:45
Keynote Presentation by Data Robot
Speaking:
Neal Silbert
General Manager of Insurance, DataRobot
4:15
Case Study: If You Build it Right, Data Will Come
- Unlocking real value from automation requires more ‘automatable’ pricing assets – get this right and you will be off on a vitreous cycle
- This is the story of how and why Hiscox USA reconsidered how pricing as a core function can deliver breakthrough value and make us more competitive
- How Hiscox drew from disciplines like design thinking to rebuild a pricing infrastructure with superior capacity for learning, adapting, innovation and reinvention.
Speaking:
Chris Schenk
Pricing, Strategy and Underwriting Analytics Manager , Hiscox
Case Study: If You Build it Right, Data Will Come
June 11 | 16:15 - 16:45
- Unlocking real value from automation requires more ‘automatable’ pricing assets – get this right and you will be off on a vitreous cycle
- This is the story of how and why Hiscox USA reconsidered how pricing as a core function can deliver breakthrough value and make us more competitive
- How Hiscox drew from disciplines like design thinking to rebuild a pricing infrastructure with superior capacity for learning, adapting, innovation and reinvention.
4:45
Case Study: Integrating Data into a Single Digital Transformation Office
- How all the data teams throughout within American Family Insurance were integrated into a single Digital Transformation team
- How having a single centre of excellence not only led to greater operational efficiency but also cost savings
- Leveraging knowledge and capabilities for added benefit throughout the whole organization
- What went particularly well? What would we have done differently?
Speaking:
Sardar Afra
Manager of Data Science , American Family Insurance
Case Study: Integrating Data into a Single Digital Transformation Office
June 11 | 16:45 - 17:15
- How all the data teams throughout within American Family Insurance were integrated into a single Digital Transformation team
- How having a single centre of excellence not only led to greater operational efficiency but also cost savings
- Leveraging knowledge and capabilities for added benefit throughout the whole organization
- What went particularly well? What would we have done differently?
5:15
Panel Discussion: Do You Really Need a Chief Data Officer?
- If you have a Chief Analytics Officer, Chief Information Officer, Chief Operating Officer and Chief Innovation Officer, do you really need a Chief Data Officer?
- What does each role bring to the table in terms of risk minimization and value maximization?
- How important is it to keep the roles of each distinct?
Speaking:
Upendra Belhe
Chief Data & Analytics Officer, Gen Re
Joe Vellaiparambil
Chief Data and Analytics Officer, AXA
Brad Lipic
VP Head of Global Data Strategy , Reinsurance Group of America
Gene Boomer
Senior Enterprise Data Architect , Protective Insurance
Panel Discussion: Do You Really Need a Chief Data Officer?
June 11 | 17:15 - 17:45
- If you have a Chief Analytics Officer, Chief Information Officer, Chief Operating Officer and Chief Innovation Officer, do you really need a Chief Data Officer?
- What does each role bring to the table in terms of risk minimization and value maximization?
- How important is it to keep the roles of each distinct?
5:45
Chairman's Closing Remarks
Chairman's Closing Remarks
June 11 | 17:45 - 18:00
Speaking:
6:00
Drinks Reception
Drinks Reception
June 11 | 18:00 - 19:00
Speaking:
7:00
Day One Close
Day One Close
June 11 | 19:00
Speaking:
Day 2
12 June
12 June
08:15
Registration & Networking in the Exhibition Area
Registration & Networking in the Exhibition Area
June 12 | 08:15 - 08:45
Speaking:
08:45
Chairman's Opening Remarks
Chairman's Opening Remarks
June 12 | 08:45 - 09:00
Speaking:
09:00
Opening CDO Keynote: Case Study - Using Design Thinking as an Organisational Tool to Accelerate Analytics
- Utilizing design thinking to make sure that the specific organizational outcomes are identified before data projects are embarked on
- How design thinking can help employees to embrace the unfamiliar
- Design thinking as a business process: a case study on how to incorporate analytics as a part of the business methodology
Speaking:
David Hopewell
Chief Data and Innovation Officer , Transamerica
Opening CDO Keynote: Case Study - Using Design Thinking as an Organisational Tool to Accelerate Analytics
June 12 | 09:00 - 09:30
- Utilizing design thinking to make sure that the specific organizational outcomes are identified before data projects are embarked on
- How design thinking can help employees to embrace the unfamiliar
- Design thinking as a business process: a case study on how to incorporate analytics as a part of the business methodology
09:30
Keynote Presentation: How to Effectively Manage Algorithm Risks in the Face of Increasing Complexity
- Safeguarding against the unintentional biases and errors that algorithm risks can produce
- Managing risks that came from designing the algorithm itself, including input data and human biases
- Deploying an effective and transparent governance structure, including policies, standards and roles and responsibilities
Speaking:
Jerry Gupta
SVP, Digital Analyst Catalyst, Swiss Re
Keynote Presentation: How to Effectively Manage Algorithm Risks in the Face of Increasing Complexity
June 12 | 09:30 - 10:00
- Safeguarding against the unintentional biases and errors that algorithm risks can produce
- Managing risks that came from designing the algorithm itself, including input data and human biases
- Deploying an effective and transparent governance structure, including policies, standards and roles and responsibilities
10:00
Keynote Presentation: Utilizing Data to Succeed in the Customer-Centric Revolution
- The era of customers as policyholders is over: with increased competition, we now need to embrace an era in which business processes put the customer first
- Using advanced analytics to improve services for current customers
- New ways to segment customers and personalize the process
Speaking:
Dennis Nilsson
AVP Head of Advanced Analytics , TD Insurance
Keynote Presentation: Utilizing Data to Succeed in the Customer-Centric Revolution
June 12 | 10:00 - 10:30
- The era of customers as policyholders is over: with increased competition, we now need to embrace an era in which business processes put the customer first
- Using advanced analytics to improve services for current customers
- New ways to segment customers and personalize the process
10:30
Panel Discussion: Establishing Strong Business Links Throughout the Organization
- What tactics or methods have you used to assist other non-technical employees to understand how data science and data analytics team add value?
- How can we identify business problems before we acquire the data to solve them?
- Getting to know exactly where points for improvement are in business optimization to show significant results
Speaking:
Katya Hall
Sr. Manager, Enterprise Data Science & Analytics, CUNA Mutual
Derek Winkler
AVP Data Science, Hanover Insurance Group
Donald Mango
Global Head of Actuarial Pricing and Analytics, Everest Insurance
Nancy Hom
Head of Global Audit Data & Analytics , MetLife
Panel Discussion: Establishing Strong Business Links Throughout the Organization
June 12 | 10:30 - 11:00
- What tactics or methods have you used to assist other non-technical employees to understand how data science and data analytics team add value?
- How can we identify business problems before we acquire the data to solve them?
- Getting to know exactly where points for improvement are in business optimization to show significant results
11:00
Mid-Morning Coffee and Networking Break in the Exhibition Area
Mid-Morning Coffee and Networking Break in the Exhibition Area
June 12 | 11:00 - 11:30
Speaking:
11:30
Keynote Presentation: Data and Digital Transformation in the Age of New Insurance
- Not understanding how to leverage the technology trends that are transforming the insurance industry, is a major risk facing many insurance companies
- The speaker will demystify a number of looming technology trends, in a non-technical fashion
- You will leave this presentation motivated and energized to explore and to find new ways to bridge the gap between your people, advanced technology, data analytics and AI
Speaking:
Scott Cohanpour
Data Officer , Speciality Insurance Division of Munich Re America
Keynote Presentation: Data and Digital Transformation in the Age of New Insurance
June 12 | 11:30 - 12:00
- Not understanding how to leverage the technology trends that are transforming the insurance industry, is a major risk facing many insurance companies
- The speaker will demystify a number of looming technology trends, in a non-technical fashion
- You will leave this presentation motivated and energized to explore and to find new ways to bridge the gap between your people, advanced technology, data analytics and AI
12:00
Case Study: Using Disparate Data Sources to Accelerate the Underwriting Process
- How an insurance a home insurance startup with a strong growth trajectory is using third party data analytics to advance underwriting
- Effective data integration using a combination of third party data, proprietary data, IoT devices and aerial imagery
- What the customer wants has changed and so should you: using innovative processes to adapt to today’s changing market demands
Speaking:
Richard McCathron
Chief Insurance Officer , Hippo Insurance
Case Study: Using Disparate Data Sources to Accelerate the Underwriting Process
June 12 | 12:00 - 12:30
- How an insurance a home insurance startup with a strong growth trajectory is using third party data analytics to advance underwriting
- Effective data integration using a combination of third party data, proprietary data, IoT devices and aerial imagery
- What the customer wants has changed and so should you: using innovative processes to adapt to today’s changing market demands
12:30
Panel Discussion: Data Governance - Making Sure That it is Your Greatest Asset, Not Your Greatest Liability
- What are the most important factors to take into consideration with regards to structuring your data?
- Steps to take to arrange a formal data governance framework
- How do you measure the effectiveness and ROI on a data governance programme?
- What methods can be used to get formal structures in place for both structured and unstructured data
Speaking:
Lorenzo Ball
VP Data Strategy & Analytics , Ameritas
Tom White
VP Clinical Informatics and Data Strategy , CDPHP
Derek Winkler
AVP Data Science, Hanover Insurance Group
Joe Vellaiparambil
Chief Data and Analytics Officer, AXA
Brad Lipic
VP Head of Global Data Strategy , Reinsurance Group of America
Panel Discussion: Data Governance - Making Sure That it is Your Greatest Asset, Not Your Greatest Liability
June 12 | 12:30 - 13:00
- What are the most important factors to take into consideration with regards to structuring your data?
- Steps to take to arrange a formal data governance framework
- How do you measure the effectiveness and ROI on a data governance programme?
- What methods can be used to get formal structures in place for both structured and unstructured data
1:00
Lunch & Networking in the Exhibition Area
Lunch & Networking in the Exhibition Area
June 12 | 13:00 - 14:00
Speaking:
2:00
Discussion Group 3A: Using New Technologies for Improved Operational Efficiency
Applying innovation to customer processes and procedures
Speaking:
Guru Rao
Chief Data & Analytics Officer, FBAlliance Insurance Company
Richard McCathron
Chief Insurance Officer , Hippo Insurance
Rob Galbraith
Former Director Underwriting Research , USAA
2:00
Discussion Group 3B: Organizational Relationships
Forging closer relationships between data scientists and claims experts to enhance the claims process
Speaking:
Todd W. Lehmann
Vice President & Chief Actuary, Quincy Mutual Group
Xiaobo Shao
VP Data Audit , Chubb
Calvin Strong
VP Claims Operations , MetLife
2:00
Discussion Group 3C: Predictive Analytics
Advanced predictive analytics to improve the customer experience: acclerated life underwriting
Speaking:
Guizhou Hu
Head of Risk Analytics , Reinsurance Group of America
Sean Keenan
VP Model Risk Governance Data & Analytics , New York Life
David Hopewell
Chief Data and Innovation Officer , Transamerica