Description: What is bias? How do you recognize it? What to do if you see it? This webcast will help respond to these questions and provide initial guidance on how to deal with these thorny issues. Please join us with your questions and we will have a nice conversation.

Description: Leadership and Management Skills Workshop – Business Execution

Description: This webcast will explore hedge strategies that can take advantage of synergies with existing business, improve liquidity and collateral management, incorporate opportunistic design-making, and reflect a company’s appetite for certain risks where excess returns can be earned.

Description: This webcast will provide a critical examination of the ACA's ongoing challenges and offer recommendations for achieving a more sustainable and effective system.

Description: Product Innovation Webcast

Description: In this webinar, the presenters will give a behind the scenes look at how the NAIC ESG was parameterized. They will also share the results of its most recent calibration.

Description: The insurance industry is working rapidly to understand the potential for transformation as artificial intelligence reshapes how products are marketed and distributed. This webcast brings together founders and senior leaders at the forefront of this change to discuss how AI is being applied to better understand customer behavior, personalize outreach, streamline lead generation, and improve distribution efficiency. Discussion will focus on future use cases and how the use of AI in marketing could change product design and customer behavior.

Description: Following recent market volatility and regulatory changes, market data and market-consistent economic scenarios are at the core of the valuation of liabilities and market risk benefits under regimes such as IFRS 17 and Long Duration Targeted Improvements. This webcast will explore options available to insurance companies to establish stable long-term volatility assumptions and discuss how the choice of financial data can impact the calibration and the simulation of credit spread scenarios.

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: Our panelists will explore fixed income topics from an actuarial perspective. We'll start with the basics of bonds, including sensitivity measures like duration and higher moments. Then, we'll discuss bond ALM characteristics, highlighting the advantages and disadvantages of incorporating various bonds into a portfolio. Finally, we'll cover actuarial modeling considerations, such as reinvestments, defaults, expenses, and other assumptions. We encourage the audience to ask questions throughout the presentation and we hope you can join us for an engaging discussion!