The Rolling Stones are back on tour this fall, despite the recent passing of drummer Charlie Watts, proving that old age and impending mortality don’t have to be impediments when it comes to being a rock star. But they’re not the only ones. Several performers from the classic rock can still be seen making new music and touring, even as they reach ages when most of us hope to be well into...
With the increasing use of AI within both the private and public sectors, regulations and laws to address the appropriate collection and use of data are being proposed and passed within Canada and across the world. Beyond the expected regulatory burden that will face companies using AI, there is an ethical component as well. Insurers have historically built their business on the idea of “fair...
From pensions and climate change to enterprise risk management (ERM) and banking, we broadened the bounds, pushing the profession to even further limits.
The increasing availability of big data and the use of predictive analytics are changing how insurers and actuaries operate. As companies face growing competitive pressures to perform, knowing how to mine and recognize the importance of data, in all forms, becomes a prime advantage.
Data science and actuarial science are both multidisciplinary in nature; they extract insights from data and require strong understanding of the underlying business processes and domain knowledge to be successful at accomplishing the task. A deeper understanding of data science can allow actuaries to leverage data science results in their work and find more applications in emerging practice areas.
Canadian Institute of Actuaries
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Ottawa, Ontario K1R 7X7
SeeingBeyondRisk@cia-ica.ca