Description: This article introduces IT DevOps to actuaries and how it is applicable to them to improve their modeling efforts and make them more efficient.

Description: This is a continuation of an article published for the speculative future contest in 2023. It mentions how the collapse of China would cause a global recession in 2029 due to the current and predicted geopolitical climate in 2023.

Description: This article describes how to model variable annuities using a GPU along with some of the stumbling blocks.

Description: The article is about how current advancements in AI can both help and potentially replace actuaries. We focus on three types of AI as defined by Numenta.org: Classic AI, Machine Learning, and Machine Intelligence. We present how Machine Learning and Machine Intelligence can affect actuarial analysts and actuaries alike. We then show how Machine Intelligence can be used to help regulators possibly construct a system or model that dynamically learns the behavior of insurance companies to predict failing insurance companies.

Description: Risk management techniques do not include system science. System science requires that the uncertainty of the world is incorporated into the results. The articles explains the difference between risk and uncertainty. Learn how risk practices create an overoptimistic view of future outcomes.

Description: It is about using actuarial judgement to validate the predictive model.

Description: This article gives you a different way to think about economics from a system science perspective and introduces concepts such as complexity, emergence, and interdependence. The concepts allow better conformity to the behavior of the markets and policyholder behavior.

Description: This article demonstrates how to implement DevOps for data using Moody's Axis. This was described as Model as Data (MAD). It described how extract turn-around documents from the model so they could be loaded back into the model. This feature allows continuous integration, continuous deployment and continuous testing of the model, which are important concepts in DevOps. This will allow the actuaries to speed up the model development cycle.

Description: This is the second part of a 2 part series on Real options analysis (ROA). This article looks into the limitations of using financial option theory when doing real options analysis with projects that are long-dated and uncertain, such as: 1. First-degree homogeneity, 2. Uncertainty must derive from Brownian motion, and 3. Risk neutrality.

Description: Winner of the Most Unique Vision of the Future award in the SOA’s 2022 Speculative Spectacular Fiction and Art Contest.