Description: This address at the SOA 1990 San Francisco Spring Meeting presents an overview of artificial intelligence and expert systems. An explanation of AI and how it can help an insurance company are discussed.

Description: Presented at June 1996 Spring Meeting. This session presents case studies on the use of technology to solve some of the problems commonly encountered by actuaries in smaller companies.

Description: Panelists at this session of the SOA 2003 Washington, DC Spring Meeting cover the history, current status and future of Internet security. Topics discussed include firewalls, encryption software and how Internet networks are constructed.

Description: Panelists discuss the Balanced Scorecard system, which measures corporate performance in four areas: financial performance, customer perspectives, internal business processes, and learning/growth. From the 1997 Record of Society of Actuaries, Vol. 23, No. 3.

Description: FASB has provided broad guidance for application of long-duration targeted improvements (LDTI) in Actuarial Standards Update 2018-12 for U.S GAAP financial reporting. However, the broad guidance provided leads to several interpretations and technology, data and system implementation challenges. During this session, the presenters will focus on sharing the technology, system and data challenges and insights gathered from their FASB LDTI implementation journey, including lessons learned from collaboration with other discipline areas and stakeholders such as finance, investment and IT. The presenters will also discuss methods to overcome challenges and go beyond compliance.

Description: Presented at May 1996 Spring Meeting. Presents case studies on the use of technology to solve some of the problems commonly encountered by actuaries in smaller companies.

Description: Enabling better care, mood management and even slowing and reversing memory loss for Alzheimer's and dementia care.

Description: Machine learning models have many practical applications in the world of insurance. These applications are well documented and most actuaries, at least at a high level, are familiar with these concepts. The presenters will take this one step further and provide an introduction to the theoretical formulas and real-world considerations that make machine learning models possible.

Description: The topic of this discussion focused on the new methods of calculation, processing, and valuation using electronic equipment. From Transactions of Society of Actuaries 1955, Vol. 7, No. 19.

Description: Technology is transforming the retirement space and more changes are expected in the future. Join a panel of experts to discuss what are the opportunities, trends and challenges associated with new technologies in the retirement landscape and how it is expected to impact consumers, if we can enable their successful integration.