Day 1 - Tuesday 14th February

8:30 AM - 9:30 AM Registration and networking coffee

9:30 AM - 9:35 AM Chairperson’s opening remarks and welcome

9:35 AM - 9:45 AM Icebreaker: What are your event objectives?

To boost networking and interactivity, the conference will begin with an opportunity for everybody to get to know one another. Attendees will then have 15 minutes to discuss their key objectives for attending the event which will be used to influence discussions throughout the entire conference. At the end of the second day the objectives will be reviewed and there will be further opportunities to discuss any remaining points.

9:45 AM - 10:25 AM Achieving company-wide data literacy

Hiek Van der Scheer, Head of Data & Analytics, Aegon
  • Creating an understanding of how to use data in every area of the organisation
  • Distributing data competencies throughout the organisation to ensure data literacy throughout
  • Encouraging a data-curious culture
  • Educating the workforce on the benefits of using data in everyday work
  • Utilising the best tools to simplify data usage and understanding
  • Establishing formal training on data usage for employees

Hiek Van der Scheer

Head of Data & Analytics

10:25 AM - 11:05 AM Using analytics to deliver personalised and competitive pricing

Barry Hawkins, Head of Dynamic Underwriting and Pricing, AXA
  • Leveraging data to inform a competitive pricing strategy and win new customers
  • Identifying the most profitable customer segments to tailor pricing and maximise profitability
  • Personalising policy renewal pricing using customer insights to reduce churn
  • Delivering accurate pricing of insurance to optimise outcomes
  • Maintaining competitive speed in underwriting

Barry Hawkins

Head of Dynamic Underwriting and Pricing

11:05 AM - 11:35 PM Morning coffee

11:40 AM - 12:10 PM Speed networking session

A structured networking exercise designed to maximize your opportunity to make those invaluable conference connections with your peers.

12:10 PM - 12:30 PM Embracing the future that is connected insurance

Vigginesh Srinivasan, CEO, Massive Analytic

Vigginesh Srinivasan

Massive Analytic

12:30 PM - 1:10 PM Getting the price right: Optimizing international private medical Insurance using deep neural networks

Armando Vieira, Lead Data Scientist, Bupa
  • Introducing a holistic perspective on pricing for IPMI using a Bayesian framework and predictive models based on deep neural networks
  • Exploring issues of price sensitivity to customer acquisition and retention and loss ratio prediction at several granular levels
  • Using structured and unstructured data whilst accommodating uncertainty in a natural way, giving the decision maker a clear tradeoff between profitability and market share that allows optimal pricing of products

Armando Vieira

Lead Data Scientist

1:10 PM - 2:10 PM Lunch

2:10 PM - 2:50 PM Leveraging advanced analytics in Health & Life Insurance

Pierre du Toit, Head of Technical Pricing & Big Data Analytics, Vitality
  • Utilising analytical applications that benefit the customer, company and wider society
  • Creating shared value through big data analytics
  • Monetising insights from advanced analytics to improve profitability

Pierre du Toit

Head of Technical Pricing & Big Data Analytics

2:50 PM - 3:30 PM GDPR, profiling, automated decision making, Big Data, deep learning and insurance: Keeping it real

3:30 PM - 4:00 PM Afternoon tea and networking

4:00 PM - 4:40 PM Using data and analytics to fight fraud

David Hignett, Head of Operational Insight, RSA
  • Development and use of fraud modelling to reduce the risk of fraud
  • Using predictive modelling to spot fraud patterns
  • Harnessing the power of your own data through predictive algorithms

David Hignett

Head of Operational Insight

4:40 PM - 4:45 PM Chairperson’s closing remarks

4:45 PM - NaN:NaN AM Drinks reception