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AI in Actuarial Science: Beyond the Buzzword, a Practitioner-First Approach
Beyond the hype, how is AI being used in actuarial practice? Discover real-world applications, practical frameworks and the evolving role of actuaries.
What actuaries can learn from Canada’s Stanley Cup struggles
Canada’s 32-year Stanley Cup drought isn’t just painful, it’s statistically improbable. Chris Fievoli, FCIA and Staff Actuary, breaks down the odds, the heartbreak and why gut feelings don’t always skate with the math.
Not Real, but Useful: The Actuary’s Guide to Synthetic Data
Synthetic data is reshaping actuarial modelling, offering privacy-safe, AI-generated datasets that preserve statistical integrity. Ready to use it in your own work? Learn how actuaries can harness this powerful tool and navigate its risks and complexities.
Revolutionizing Actuarial Work with Generative AI: A Glimpse into the Future
In the meticulous world of actuarial science, where statistical rigor and business insight converge to assess risks and forecast financial outcomes, a quiet evolution is underway.
Bridging the gap: constructing mortality tables using data science
For life insurance and reinsurance companies, mortality tables are foundational in the pricing and valuation of products. Actuaries have historically relied on traditional methods to build these tables, using data points such as gender, smoking status, age and duration.
Simplicity, interpretability and effective variable selection with LASSO regression
In recent years, the fields of machine learning, deep learning and advanced analytics have revolutionized various domains, including mortality modelling. These cutting-edge technologies offer tangible benefits by enhancing the accuracy, interpretability and efficiency of predictive models.
The uncomfortable truths of analytics: Lessons from baseball and actuarial work
It’s been a couple of years since we tried to tie baseball to the actuarial profession, so I thought it was time to do it again.
CIA statement – Big data’s position in insurance ratemaking
Earlier this year, the Canadian Institute of Actuaries (CIA) issued a statement on the growing interest in using big data in insurance ratemaking.
Behold the API (application programming interface)
Most actuaries work with data and build models, but do most know how to facilitate the distribution of their data and models? The purpose of this article is to introduce the idea of application programming interfaces (APIs) to actuaries who may not have considered them as a way to distribute their data and models.
R vs. Python vs. EVERYTHING
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. It’s reasonable to assume that the debate will continue if the popularity of these two programming languages is maintained.