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...
One of the more interesting emerging areas in the actuarial world is predictive analytics, techniques of which include data modelling, machine learning, and artificial intelligence. But are we ready to embrace these forward-looking technologies? In this episode, Denise Cheung (FCIA), Megan Kang (ACIA), and Adam Goldfarb join us to discuss their research paper that examines the use of big data and...
As the Actuaries Climate Index and other climate-related measurements continue to tick upwards, the question is what do we do with these data? Are Canada and the provinces putting enough effort towards adapting our infrastructure to the potential consequences of climate change? How can Canadian actuaries get more involved in climate-related risk management and apply their expertise to the...
Catch this interview with Alex Liu, ACIA, for a look at what’s on the horizon for insurers and the automotive industry with regard to autonomous vehicles.
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