A new statement from the Canadian Institute of Actuaries (CIA), Big data and risk classification: Understanding the actuarial and social issues, says that using big data derived from new technologies can contribute to the healthy functioning of insurance markets.
Big data and risk classification: Understanding the actuarial and social issues is the CIA’s latest policy statement. In this episode of the podcast, Matt Buchalter, FCIA and Chris Cooney, FCIA speak about the need for this statement, the benefits that increased data collection can have on insurance ratemaking and society, how policyholder privacy is paramount, and how data collection is expected...
The inter-related and combined influences of climate and cities – temperature, moisture, infrastructure, and ultimately people – on urban extreme weather events needs to be better understood. This is especially so as many cities adapt too slowly to keep pace with our changing climate.
Housed at the Canadian Centre for Climate Change and Adaptation, the University of Prince Edward Island’s (UPEI) School of Climate Change and Adaptation offers students and researchers the unique experience of learning about climate science in St. Peter’s Bay, PE, an area surrounded by diverse and environmentally significant topographies.
Actuaries are travelling deeper into the fields of data science and machine learning, where open-source software is widely used. Two of the most popular open-source programming languages used by actuaries are R and Python. The topic of R vs. Python is already hotly debated by many professionals in the field of data science, and still discussed at length in many opinion- and fact-based articles...
Canadian Institute of Actuaries
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SeeingBeyondRisk@cia-ica.ca