Tools like python/R are being heavily used to provide end-to-end analytical solutions for risk management. They help to set up a framework/platform to collect risk data and work out stochastic analytics to provide insights into the risks faced by a firm, be it in any sector. Data science techniques are being used to not only assess risk, but to predict outcomes in the future based on stochastic analysis and impacts of mitigation techniques. This webinar talks about the possible applications of technology to assist actuarial advice in such situations.
