Open to men and women, this informal roundtable session will discuss the challenges and opportunities that women face in the data world, as well as considering what actions the community can take to encourage more women to consider a career in data.Speaking
Keynote Presentation: Strategies for Success – How to ‘Make It’ as a Chief Data & Analytics Officer in Insurance
Short term goals for quick wins versus long term priorities – the first 90 days as a CDAO Get your Board on board – obtaining buy-in at the highest level and building positive relationships with other C-Suite executives When data is embedded in every part of the business, what should the boundaries of the CDAO… Read more.Speaking
The main reason companies struggle to fully leverage data/analytics is because they have neither redefined success – a la Moneyball – nor taken action on the insights. Why this is important – the miss is causing many companies to make short-sighted decisions, costing them valuable customers and hundreds of millions in operating profits.Speaking
Keynote Presentation: Putting the ‘C’ into ‘CDO’ – Realizing Organizational Change Through Strategic Leadership
Identifying the techniques to successfully drive change in Insurance organizations Creating the case for change – overcoming resistance and embedding the transition. Winning the culture war – instilling a data-driven cultureSpeaking
Given the relative maturity of data and analytics usage in the Insurance industry, is the appointment of a CDO or CAO necessary? What additional benefits does creating a CDO role offer over a more traditional approach? How can CDOs in insurance avoid the perception of being a short-term appointment and cement their place in the… Read more.Speaking
Before you can execute any data-oriented project, you must know what data you have and where it is located. Find out how to lift the data fog so business users can convert data into actionable business intelligence. Learn how Waterline Data insurance customers use a data catalog to make their data known and accessible, while… Read more.Speaking
Data as a corporate asset – how to move the CDO office from cost center to profit center Moving beyond volume, velocity and variety to the fourth ‘V’; Value Demonstrating value – measuring and communicating the ROI of your data programSpeaking
Approaches to determine the vital skills that your team requires, whilst balancing to ensure you have the right mix of technological expertise and business knowledge How to mitigate the talent shortage by sourcing good attitude and developing the skill set What is the key to retaining high performing staff?Speaking
Discussion Group Session 1
Utilizing your data to improve efficiency in claims processing and shorten claims cycles What customer experience benefits can we gain by using data to improve claims? How can analytics and data science be used to more accurately identify fraudulent claims?
Chief Analytics & Data Officer and Senior Vice President - Excellus Blue Cross Blue Shield
Examining best practices in tackling state-to -state variances in regulatory compliance. Reducing the cost of compliance, without exposing the business to regulatory risk Beyond ‘box ticking’ – leveraging the value in your data outside of regulatory reporting
Identifying the trends in smart cars, smart houses and wearables? Evaluating what data you use, what you measure, and how you store and analyze Discussing the most effective use of this data and utilising it to better calculate risk
Discussion Group Session 2
Using data to identify winning products based on business needs, customer demands and behaviour. Delivering insights to improve and personalize products & pricing. Data as your guide to more highly segmented customer experience
Evaluating the benefits of viewing your organization horizontally and dismantling vertical siloes which can breed operational inefficiencies Defining the steps needed to dismantle disparate pockets of information How can CDOs transform outdated legacy practices into optimum Data Governance procedures?
Assessing the potential of machine learning to enable disruptive innovation Utilizing machine learning to improve predictions and make more accurate automated decisions Could machine learning algorithms enable much greater levels of personalization than are currently available, leading to great customer experience?
Given the increasing prevalence of drones and pervasiveness of mobile devices with cameras, what impact might ‘computer vision’ have on the insurance industry? Utilizing image data as an additional source – using deep learning and computer vision for underwriting and claim loss estimation. Learn how unlabeled data and supervised learning can be applied for assessment… Read more.Speaking
It’s all about the customer – building a customer-centric data strategy to improve customer experience and retention Is a 360 degree view of the customer possible, and what methods can get us closest to it? Data and Analytics as the key to unlock personalized service and products for your customersSpeaking
Panel Discussion: Data Science Meets Actuarial Science – Developing Mutual Understanding for a Successful Relationship
Examining the relationship between Data Scientists and Actuaries in leading Insurance companies – what leads to success, and what leads to failure? Defining roles, remit, and responsibility – where does my ownership begin and end? Should we expect potential convergence or divergence between the two roles? Which would most benefit your company?Speaking