18.00-19.00 GMT+8
In this presentation John will introduce a modular framework of streamlining analytics and machine learning workflow in enterprises. Setting up an efficient, integrated and scalable data science pipeline can help actuaries and data scientists to optimise the value of data and time-to-market of models. We will look at five modular components, the actuarial control cycle, automation and pipeline governance.
This framework could be applied to dynamic pricing and optimisation, portfolio analytics, morbidity and mortality modelling, fraud management etc. Lastly, you’ll take away some practical steps in using this framework to deliver better results.
Speaker:
John Ng, Reinsurance Group of America (RGA)
John is Senior Data Scientist at Reinsurance Group of America (RGA) where he provides predictive modelling solutions for internal and external clients on mortality, morbidity, biometrics and digital distribution. In his previous roles he developed end-to-end Automated Machine Learning (AutoML) platform for a range of product lines and deployed advanced pricing optimisation frameworks.
John is a Fellow of Institute of Actuaries, an experienced pharmacist, IFoA Data Science Research Workstream Chair, Data Science Managing Committee member and Deputy Chair of IFoA Health and Care Research sub-committee.
Event organiser
Contact Niki Park for more information.
020 7632 2152
This webinar will be 60 minutes incliuding time for Q&A. If you are unable to watch this webinar live, the session will be recorded and made available to watch on the VLE.
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