Registration & Coffee in the Exhibition Area
June 23 | 08:00 - 08:45
CDAO Insurance
June 2020 | W Hoboken, NJ
Day 1
23rd June
23rd June
08:00
08:45
Chair's Opening Remarks
Chair's Opening Remarks
June 23 | 08:45 - 09:00
Speaking:
09:00
Opening Keynote Presentation: What is the Current Status of the CDAO in Insurance
- How has the role of the CDAO Insurance changed over the last five years?
- How can we balance the need for good data management practices with the ability to harness new technology and display ROI?
- Placing analytics as a key driver of the transformation and disruption of the business
- How is the changing insurance & technology landscape likely to affect our roles? What skills will we need to succeed?
Opening Keynote Presentation: What is the Current Status of the CDAO in Insurance
June 23 | 09:00 - 09:25
- How has the role of the CDAO Insurance changed over the last five years?
- How can we balance the need for good data management practices with the ability to harness new technology and display ROI?
- Placing analytics as a key driver of the transformation and disruption of the business
- How is the changing insurance & technology landscape likely to affect our roles? What skills will we need to succeed?
Speaking:
09:25
Keynote Presentation: Robotic Process Automation in Insurance - How Can it be Best Utilized to Improve Business Operations?
- Robitic Process Automation as a catalyst to improve efficiency through reduced costs, quality improvements and time savings
- Reducing organization anxieties around RPA
- Integrating RPA with legacy systems & other emerging technologies
- To what extent can RPA be used as a facilitator for the many regulatory challenges of insurers?
Keynote Presentation: Robotic Process Automation in Insurance - How Can it be Best Utilized to Improve Business Operations?
June 23 | 09:25 - 09:50
- Robitic Process Automation as a catalyst to improve efficiency through reduced costs, quality improvements and time savings
- Reducing organization anxieties around RPA
- Integrating RPA with legacy systems & other emerging technologies
- To what extent can RPA be used as a facilitator for the many regulatory challenges of insurers?
Speaking:
09:50
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?
Panel Discussion: How we Can We Overcome Organizational Siloes in Data & Analytics?
June 23 | 09:50 - 10:25
- 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:
Track A:
10:25
Breakout Keynote: Overcoming Challenges in Implementing Data Lake
- How to select the most effective mechanism for the 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?
Breakout Keynote: Overcoming Challenges in Implementing Data Lake
June 23 | 10:25 - 10:55
- How to select the most effective mechanism for the 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:
Track B: GeoInsurance
10:25
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
GeoInsurance Breakout Keynote Presentation: Driving Innovation in the Geospatial Sector
June 23 | 10:25 - 10:55
- 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:
10:55
Mid-Morning Coffee & Networking in the Exhibition Area
Mid-Morning Coffee & Networking in the Exhibition Area
June 23 | 10:55 - 11:25
Speaking:
11:25
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?
Keynote Presentation: Building an Effective Data Governance Framework for Insurance
June 23 | 11:25 - 11:50
- 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:
11:50
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
Panel Discussion: Data Management Lessons Learned During Financial Transformation and Actuarial Transformation
June 23 | 11:50 - 12:25
- 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:
Track A:
12:25
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 to 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
Breakout Keynote Presentation: How is the Continuing Evolution of Technology Changing the Insurance Landscape?
June 23 | 12:25 - 12:55
- Sensor devices, home monitors, healthcare monitors: what impact has this had on customer engagement?
- What steps to 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:
Track B: GeoInsurance
12:25
GeoInsurance Breakout Keynote Presentation: How Can We Overcome Regulatory Challenges in Using Geospatial Data for Underwriting?
- Underwriting and insurance overall is a notoriously regulated area: how can we maintain compliance whilst also taking advantage of the new opportunities that geospatial data provides?
- Coping with inter-state compliance regulations
- Unlocking the power of new technologies such as geospatial IoT whilst also safeguarding transparency?
GeoInsurance Breakout Keynote Presentation: How Can We Overcome Regulatory Challenges in Using Geospatial Data for Underwriting?
June 23 | 12:25 - 12:55
- Underwriting and insurance overall is a notoriously regulated area: how can we maintain compliance whilst also taking advantage of the new opportunities that geospatial data provides?
- Coping with inter-state compliance regulations
- Unlocking the power of new technologies such as geospatial IoT whilst also safeguarding transparency?
Speaking:
12:55
Lunch & Networking in the Exhibition Area
Lunch & Networking in the Exhibition Area
June 23 | 12:55 - 13:55
Speaking:
Track C: GeoInsurance
1:55
Discussion Group 1C: 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?
Discussion Group 1C: How is Climate Change Altering the Way Insurers Deal With Risk?
June 23 | 13:55 - 14:40
- 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:
Track A:
1:55
Discussion Group 1A: 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
Discussion Group 1A: Best Practice in Scaling Up Smaller Systems for Enterprise-Wide Benefit
June 23 | 13:55 - 14:40
- Ensuring that the focus is on people, process & technology
- Establishing enterprise-wide governance processes throughout different business units
Speaking:
Track B:
1:55
Discussion Group 1B: 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?
Discussion Group 1B: The Growing Importance of AI in Claims Analytics
June 23 | 13:55 - 14:40
- 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:
Track A:
2:40
Discussion Group 2A: 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?
Discussion Group 2A: Creating a Data Ethics Framework That Facilitates Innovation
June 23 | 14:40 - 15:25
- 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?
Speaking:
Track B:
2:40
Discussion Group 2B: 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?
Discussion Group 2B: Unleashing the Power of ‘Dark Data’ and Analytics Utilizing Various Data Sources
June 23 | 14:40 - 15:25
- 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:
Track C: GeoInsurance
2:40
Discussion Group 2C: Leveraging Geospatial Data to be Proactive Rather than Reactive in the Customer Journey
- Insurance has traditionally lagged behind other industries in the customer experience area: how can geospatial data help to change this?
- Harnessing new data sets to both reduce risk for the business and create new customer touchpoints
Discussion Group 2C: Leveraging Geospatial Data to be Proactive Rather than Reactive in the Customer Journey
June 23 | 14:40 - 15:25
- Insurance has traditionally lagged behind other industries in the customer experience area: how can geospatial data help to change this?
- Harnessing new data sets to both reduce risk for the business and create new customer touchpoints
Speaking:
3:25
Afternoon Tea & Networking in the Exhibition Area
Afternoon Tea & Networking in the Exhibition Area
June 23 | 15:25 - 15:55
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
Keynote Presentation: Breaking Down Business Transformation – What do you Really Need to Know?
June 23 | 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:
4:25
Keynote Presentation: Capitalizing on Customer Engagement Throughout the Consumer Lifecycle
- As insurers we know the customer services is key, but how can we increase engagement when some customers only interact once per year?
- Creating a human-centered design in the customer lifecycle
- Know your customer: ensuring that customer feedback is capitalized on in every possible are of the business
- Strategies for monetizing customer data: both short-term and long-term objectives
Keynote Presentation: Capitalizing on Customer Engagement Throughout the Consumer Lifecycle
June 23 | 16:25 - 16:50
- As insurers we know the customer services is key, but how can we increase engagement when some customers only interact once per year?
- Creating a human-centered design in the customer lifecycle
- Know your customer: ensuring that customer feedback is capitalized on in every possible are of the business
- Strategies for monetizing customer data: both short-term and long-term objectives
Speaking:
4:50
Panel Discussion: Cultivating an Organizational Culture of Both Compliance & Ethics 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’?
Panel Discussion: Cultivating an Organizational Culture of Both Compliance & Ethics in the Wake of CCPA
June 23 | 16:50 - 17:25
- 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:
5:25
Chair's Closing Remarks
Chair's Closing Remarks
June 23 | 17:25 - 17:30
Speaking:
5:30
Drinks Reception & Speaker Clinics in the Networking 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 & Speaker Clinics in the Networking Area
June 23 | 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
June 23 | 18:30
Speaking:
Day 2
24th June
24th June
08:00
Registration & Coffee in the Exhibition Area
Registration & Coffee in the Exhibition Area
June 24 | 08:00 - 08:45
Speaking:
08:45
Chair's Opening Remarks
Chair's Opening Remarks
June 24 | 08:45 - 09:00
Speaking:
09:00
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?
Keynote Presentation: How Can We Build a ‘Data Science Mindset’ Within an Organization?
June 24 | 09:00 - 09:25
- 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:
09:25
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?
June 24 | 09:25 - 09:50
- 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:
09:50
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
Keynote Presentation: Applied Artificial Intelligence (Insurance Industry)
June 24 | 09:50 - 10:15
- 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:
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?
Panel Discussion: How Can We Create a Holistic View of Information Governance in Insurance?
June 24 | 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:
10:50
Mid-Morning Coffee in the Exhibition Area
Mid-Morning Coffee in the Exhibition Area
June 24 | 10:50 - 11:35
Speaking:
Track A:
11:35
Discussion Group 3A: Is There a Talent Shortage in Insurance Data & Analytics and What are the Best Methods 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?
Discussion Group 3A: Is There a Talent Shortage in Insurance Data & Analytics and What are the Best Methods of Dealing With it?
June 24 | 11:35 - 12:20
- 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:
Track B:
11:35
Discussion Group 3B: 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?
Discussion Group 3B: What are the Best Ways to Engage With Business Partners?
June 24 | 11:35 - 12:20
- 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:
Track C: GeoInsurance
11:35
Discussion Group 3C: Risk Assessment Within GeoInsurance - A Current Evaluation
- How effective are the current methodologies of risk assessment with geospatial data?
- Has 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
Discussion Group 3C: Risk Assessment Within GeoInsurance - A Current Evaluation
June 24 | 11:35 - 12:20
- How effective are the current methodologies of risk assessment with geospatial data?
- Has 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:
Track A:
12:20
Discussion Group 4A: 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
Discussion Group 4A: Adapting to Customer Demands With Agility and Flexibility
June 24 | 12:20 - 13:05
- 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:
Track B:
12:20
Discussion Group 4B: 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
Discussion Group 4B: Increasing Organization Trust in AI & Machine Learning
June 24 | 12:20 - 13:05
- What are the best methods for increasing employees’ trust in an unfamiliar area?
- Creating transparency and scaling up AI & Machine Learning
Speaking:
Track C: GeoInsurance
12:20
Discussion Group 4C: 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?
Discussion Group 4C: Harnessing the Power of Geospatial Data for Underwriting
June 24 | 12:20 - 13:05
- How can advancements in geospatial technology change the underwriting process?
- How can the value of this data be embraced to better understand risk?
Speaking:
1:05
Lunch & Networking in the Exhibition Area
Lunch & Networking in the Exhibition Area
June 24 | 13:05 - 14:10
Speaking:
2:10
Keynote Presentation: Overcoming Challenges in Implementing Data Lake
- How to select the most effective mechanism for the 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?
Keynote Presentation: Overcoming Challenges in Implementing Data Lake
June 24 | 14:10 - 14:35
- How to select the most effective mechanism for the 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:
2:35
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?
June 24 | 14:35 - 15:00
- 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:
3:00
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?
Panel Discussion: How is the Insurance Industry at a Macro Level Going to Affect Data & Analytics?
June 24 | 15:00 - 15:40
- 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:
3:40
Chair's Closing Remarks
Chair's Closing Remarks
June 24 | 15:40 - 15:50
Speaking:
3:50
Can't wait for CDAO, Insurance 2020?
Join us for the pre-conference Focus Day on Analytics for Insurance at CDAO, Fall 2019! Taking place in Boston November 18th.
