Description: The frequent use and complexity of today's actuarial projection models has increased the importance of having efficient models. Model optimization can reduce both cloud costs and overall end-to-end clock times, thereby allowing companies to do more with less such as reducing close times, increasing controls, enhancing analysis, doing more complicated calculations, and/or improving employee workloads during the close. From design and data to execution and audit, come explore techniques that can be applied throughout the actuarial modeling process to optimize actuarial models for improved run-time, accuracy, and reliability. There will be a focus on techniques that don't rely on model compression. Topics covered include model design pitfalls, data handling, improving convergence on asset-liability projections, strategies for interacting with the cloud, and other tips for optimizing actuarial models.

Description: Enjoy an in-depth walkthrough of the facets of the lab testing world in this webcast. The agenda will include a discussion on genetic testing, which focuses on its general background, current trends and tests in the pipeline, as well as a focus on the approaches to achieve savings in lab testing. Finally, expect to check out sample actuarial analyses that will be used to identify areas of focus in lab management. Join us and take a deeper look into lab work in the actuarial health industry.

Description: Recent and potential near future extreme experiences are leading us to a new normal rather than back to the prior environment. Learn more about several examples of past Regime Changes along with a detailed discussion of how recent disruptions lead toward a persistent change in the business, social and political environment. Come develop an understanding of these drivers of change as well as the likely impacts on the Financial Services industry.

Description: Recent developments in automation capability have opened the door to improvements in the way that companies are able to monitor compliance with Internal Revenue Code (IRC) Section 7702. Further automation of Section 7702 testing allows for less input, more policy testing, and significant reductions in manual processes and risks associated with them. As technology has improved, and computing power become virtually limitless, the insurance industry can take advantage of these new technologies to improve and enhance 7702 capabilities. The result can be an easier, faster and more comprehensive process that will be more scalable across products. By attending the session, you will: - Understand the basics IRC 7702 calculations and computational limitations on traditional solutions. - Identify the features that make low-code/no-code solutions unique and their uses in an actuarial context. - Apply the pros and cons of low-code/no-code (LCNC) solutions in a 7702 context.

Description: Asset liability management is an important task for any insurer, where tools like Excel play an important role from an analytics perspective. Dashboard tools like Power Bi and Tableau can supercharge an organization’s ability to perform ALM with real-time precision and monitoring of risk/imbalances. The dashboard can provide insights into potential risks posed by asset allocation and concentration, allowing for informed decision-making to mitigate those risks. The presenters will walk the audience through an example of ALM use case, including how to build key performance indicators such as cash flow, asset allocation, and risk exposure. Additionally, we will demonstrate how these types of dashboards can be customized to fit the specific needs of your organization.

Description: This training session will include lessons learned in 2021 and revisit a presentation given last year, discussing the new Actuarial Standard of Practice (ASOP56), which fills in the gap for guidance on Actuarial Modeling. Prior to ASOP 56, actuarial judgement reigned where standards and guidance lacked. Learn the foundation for designing, developing, modifying and validating a model according to SOA guidelines. By attending this session, you will: • Learn how to identify model’s intended purpose. • Strategically extract input data and assumptions. • Use the level of detail required in output data as a consideration for model design. • Choose from SOA recommended validation techniques.

Description: Learn more about the predictive modeling that was applied to industry data for the lapse and mortality experience in the post-level term period. Novel approaches were taken to model the shock lapse, subsequent lapse, and mortality experience. Observe a demonstration of the Tableau tool, which was built to allow users to analyze data on their own.

Description: In the light of growing adoption of AI in life insurance and with it a growing emphasis on the need to safeguard the data used against reidentification,traditional approaches to de-identifying data mitigate these risks but often fail to protect against more sophisticated attacks. Find out more about data anonymization methods, geographic differences in regulation (PIPEDA, HIPAA) and special considerations when dealing with particular data types By attending the session, you will: Gain knowledge of various data anonymization techniques and understand the differences in how data anonymity is defined across different regulatory schemes.

Description: The topics of ESG (Environmental, Social & Corporate Governance) and sustainability are an increasing area of focus for insurance companies, and thus actuaries. This webcast provides a primer on these topics along with considerations for US valuation actuaries and their evolution in European insurance markets.

Description: "Can you answer the question 'what are the chances we will lose more than $1 million next year?' without saying 'it depends'? If you miss a projection, can you quantify the chances that the miss was due to random variation vs. an incorrect projection? ten in as presenters demonstrate how to answer these questions and others using total risk analysis. Total risk analysis includes quantifying both the random variation risk and the projection risk associated with actuarial functions like pricing and reserving. After attending this session, you will be able to describe total risk analysis, apply total risk analysis to many actuarial functions."