Description: Hybrids of the soft computing SC technologies have been applied to market forecasting and trading rules, and in many cases have demonstrated better performance than competing approaches. The purpose of this research is to investigate a representative group of these applications and to document the manner in which hybrids of the SC technologies were implemented.

Description: How the speed of change is accelerating and how we could react to this as a profession.

Description: Interview with John Houston, Advanced Analytics and Predictive Modeling practice leader at Deloitte.

Description: Society of Actuaries research efforts currently in development

Description: Medical management programs have traditionally addressed more acute and short-term issues with chronic disease. As LTC becomes an important product in the insurance industry, including disease management is likely to be valuable for reducing costs and prolonging the healthy, premium-paying portion of a claimant's life.

Description: "The following video Dave Friesen provides a comprehensive overview of the Artificial Intelligence and Data Science learning track. It covers the role of AI in actuarial work, ethical considerations, and the challenges and limitations of AI. The document also discusses the importance of cloud ecosystems, AI tools, and automation trends, emphasizing the evolution of platforms like Python and low-code solutions. Additionally, it highlights the criticality of lifecycle management, governance, and data foundations in AI applications.

Description: Interview with Ian Duncan about his actuarial background and role in predictive analytics.

Description: This session will cover assumption determination for annuities under VM-21 with emphasis on contract holder behavior assumptions, prudent estimate mortality assumptions and measuring credibility.