This talk will evaluate the present pace of evolution in actuarial data management due to economic and demographic pressures, evolving regulatory/compliance requirements, AI and the growing need to have advanced analytic capabilities. We will evaluate each factor briefly to isolate their impact on actuarial data management, highlighting risks and opportunities for actuaries and IT teams supporting actuaries. Attendees will gain insights into the factors affecting changes in actuarial data technologies, understand key differences between centralized and decentralized data management approaches, including their impact on data quality, governance, performance, and scalability. The session will highlight some pain points of centralization, such as the integration of actuarial transformation initiatives with IT processes, juggling data complexity and business logic, and the limited creativity and agility due to interdependencies between components and evaluate how emerging concepts such as actuarial data stores tackle the 'centralization' problem. We will also cover a real-life use case covering the evolution of actuarial data management and challenges identified in previous parts of the presentation. The session will avoid going into any specific solution details: it will address current challenges due to broad shifts, then evaluate newer concepts, corresponding risks and opportunities. - Understand key macro and micro drivers impacting actuarial data management - Understand centralized and decentralized approaches to actuarial data management - Evaluate the concept of an actuarial data store - Coordinate better with IT teams to deliver changing actuarial data technology needs