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This webcast focuses on how actuaries and analytics teams manage the end-to-end analytic life cycle, from data preparation through modeling, validation, and production, using the GDP Nowcasting use case. Rather than emphasizing specific algorithms, the session highlights practical considerations that determine whether a model can be trusted, governed, and operated over time, especially in regulated insurance environments. The GDP Nowcasting example illustrates how adaptive statistical models can be embedded into actuarial workflows to support ongoing assumption review and risk awareness across insurance lines.
Name of Community: Emerging Topics
Moderator(s)
Huina Chen, FSA, CERA
Senior Manager
SAS Institute Inc
Presenter(s)
Jiri Kubalek
Business Solutions Manager | SAS Institute
Puja Das
Vasileios Farmakiotis
Business Intelligence & Data Analytics Professional | Generali Hellas