Description: This session will showcase how from an actuarial perspective IFRS17 has its roots in market consistent valuations. It will also show how International Financial Reporting Standard (IFRS) 17 is rooted in probability-weighted stochastic scenarios-same as fair valuation, and how initial recognition sets the stage, as in the pricing basis and report, for actual experience to emerge as in the subsequent recognition. A detailed model will be given for a simple annual premium non-par endowment and actual numbers given and explained. The stochastic model will explain in detail the key reserve items in IFRS 17 including: - Liability for remaining coverage (LRC) - Risk Adjustment (RA) - Contractual Service Margin (CSM) And it will explain their interactions with one another. A discussion will be held regarding universal life policies with simple interest guarantees. And how these guarantees merit a valuation similar to Lookback options because of their path-dependent nature.

Description: Runtime of actuarial models and their associated processes has been a growing concern amongst the industry. This session will explore how expanding regulatory requirements, refined analytical objectives, and the desire for process optimization have increased the amount of processing power needed to get answers in a timely manner. Presenters will dive into how companies are leveraging data, refined pre- and post-processing routines, runtime reduction techniques, and cloud-based solutions to increase their efficiency in producing, analyzing, and validating model results.

Description: In this session, we will discuss best practices in ALM and Strategic Asset Allocation (SAA) modeling approaches to account for the complex relationships between insurance liabilities and the portfolios backing them. We will highlight how robust modeling techniques not only result in optimal asset decisions from a long-term value perspective but can also result in better capital efficiency. At the conclusion of this session, attendees will be able to identify the key aspects of a successful ALM and SAA framework for liabilities subject to PBR.

Description: This session will provide an in-depth exploration of model governance, with a particular focus on its relationship to model architecture and its role in fostering resilient, scalable models. We will examine key architectural principles—including scalability, flexibility, modularity, and standardization—and their impact on model reliability and maintainability.We will also highlight the benefits of conducting Architecture Reviews and introduce a development philosophy centered on writing resilient code, building trustworthy models, and implementing structured governance to mitigate risks and technical debt.Beyond architecture, we will take a broader look at model governance, outlining key roles, approval processes, and documentation standards that promote accountability and transparency. Drawing from real-world experience, we will share practical strategies for operationalizing governance and architectural best practices within a production environment, highlighting how these approaches support sustainable, scalable modeling frameworks.The session will also explore the consequences of weak governance—such as inefficiencies, compliance gaps, and audit vulnerabilities—underscoring the importance of proactive, structured oversight.Additionally, we will cover the latest regulatory updates relevant to actuarial model governance, including OSFI’s Draft Guideline, updates in AI-related regulation, and the BMA’s Consultation Paper on model validation.By the end of the session, attendees will gain practical insights into building and implementing governance frameworks that enhance model oversight, support regulatory compliance, and drive long-term sustainability in actuarial modeling.

Description: "Modern actuarial work, being highly data-intensive, offers many opportunities for actuaries to apply the statistical skills gained through their basic training. Advances in computing allow us to analyze vast quantities of data efficiently, and many software packages provide statistical 'answers' to almost any question an actuary might ask. However, in this field, it is often worth taking a step back, and ensuring that we recall and consider the warnings that come with each of the statistical procedures we might attempt to use. This will allow us to ensure that we guard ourselves against drawing inappropriate conclusions, which could come back to haunt us later. At the conclusion of the session, attendees will be able to avoid drawing inappropriate statistical conclusions while doing their work. They will leave informed about the types of pitfalls that exist and where those might come into play in actuarial work."

Description: "The Individual Life Experience Committee continues to unlock valuable insights from the VM51 data as the NAIC releases it. In this session, attendees will get a preview of individual life mortality patterns during COVID-19 for more than 100 companies in the NAIC data for the years 2020 to 2021, the first years of the pandemic. The session will also share early findings from the committee's latest initiatives, including the integration of predictive analytics into reporting products, assessment of simplified and accelerated underwriting, exploration of joint life mortality, evaluation of company-level differences, and continued research into old-age mortality patterns. Attendees will leave the session with enhanced knowledge for assessing best-estimate mortality for valuation purposes."

Description: Long-term care insurance (LTCI) covers the cost of long-term care services and supports, which can include skilled nursing, assisted living facility, and home-based care. LTCI may be used both to cover care costs and protect beneficiaries’ assets. The rapidly increasing number of older people in the United States will greatly increase the need for long-term care. As the landscape of long-term care continues to evolve, recent trends indicate a significant shift towards product design innovation, inforce management strategies, and policyholder engagement. This session will address several facets of the current state of LTCI as well as potential future evolutions of the product.

Description: This session will explore the uses of financial models at companies as well as the history of how we have arrived at the current day status of how models are used and viewed internally. Financial models can be very useful tools for many actuarial purposes - a key asset for many areas of a company including forecasting and understanding key shifts in business demographics. However, many modeling challenges have companies treating models as a liability and only using them for necessary processes. This session will explore why this is the case and explore opportunities to turn financial models into a key asset supporting key decisions.

Description: In this presentation, actuaries and data scientists from Cleveland Clinic and Milliman discuss the development of a sepsis prediction model using machine learning. Presented with a unique challenge of handling massive amounts of data for near real-time risk scoring, the team took their model development to the cloud and delivered a product in less than a week through a unique virtual engagement.

Description: The insurance industry is faced with many unforeseen changes such as recent advances in technologies and the associated impacts on the risk assessments. In this session, we focus on two specific developments; (i) the liquidity provision problem on automated market makers (a.k.a. DeFi exchanges such as Uniswap) and the conditions under which liquidity providers should enter or exit the DeFi token pools; and (ii) efficient utilization of drivers telematics data for better risk classification in personal auto insurance.