Description: Even if you aren’t interested in going to Rome, this article is the first in a series on the process of innovation. It defines innovation, describes an overview of the innovation process, and includes a few innovative techniques and examples of innovation. However, it does not provide directions to Rome, as all roads lead there anyway.

Description: Retrospective on the E&I council goals and accomplishments heading into the new SOA community model

Description: Actuarial work in the life and health insurance industry is highly data-driven and complex. Actuaries perform a wide range of tasks such as experience studies, valuation, reserving, pricing, and risk modeling, all of which require vast amounts of data and sophisticated analytics. Traditionally, many of these tasks have been carried out using Excel and other legacy tools, but as data volumes grow and the need for more accurate predictions intensifies, actuaries are turning to more robust platforms. Cloud Data & Artificial Intelligence (AI) Platforms, such as t Databricks offer a unified platform that integrates data management, analytics, and machine learning, making it a powerful tool for actuaries. In this article, we’ll explore how Cloud Data & AI platforms can be used as an actuarial workbench, enabling actuaries in the life and health sector to streamline critical tasks like experience studies, valuation, and reserving.