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: This session is an in-depth interview of Amanda Hug and Micheline Dionne, president of the SOA and past-president of the International Actuarial Association (IAA), respectively. SOA is the largest professional society for the actuarial profession, and the IAA represents actuaries from over 100 countries. We’ll touch on topics such as AI, the future of work for actuaries, DEI (Diversity, Equity and Inclusion), among others. At the conclusion of the session, the attendees would be able to get a better understanding of the strategic directions of both organizations and how each plans to navigate its perceived challenges and opportunities. Interviewees: Amanda Hug, FSA, MAAA, Director at WTW, incoming president of the SOA Micheline Dionne, FCIA, Past-President of International Actuarial Association (IAA) Interviewer: Jing Lang, FSA, FCIA, President of Deepwork Academy and host of the Be Brilliant with Jing Lang podcast.

Description: This session will explore the considerations and best practices for developing AI tools that are useful, safe, and transparent for actuarial work. While large language models (LLMs) offer exciting possibilities, it is crucial to understand when and how to use them effectively. The session will cover key concepts of LLMs and case studies on developing AI tools for retrieval-augmented generation and summary creation of actuarial documents. Attendees will learn about the importance of designing workflows that nudge users towards safe and effective processes. By the end of the session, participants will gain insights into the responsible use of LLMs in actuarial practice and learn how to leverage their potential to support professional growth.

Description: As artificial intelligence reshapes the actuarial landscape, this panel will explore the critical aspects of change management necessary for the successful integration of AI technologies. We will discuss how to effectively embrace AI in the workplace and address common challenges and resistance to change. Join us for an engaging discussion on navigating this transformative journey and empowering actuaries to harness the full potential of AI in their work.

Description: This session will delve into the valuable lessons learned from recent accounting change implementation, covering both model and process optimization. Attendees will gain industry knowledge as we explore optimization decisions made by others, highlighting both successful strategies and areas for improvement. We will discuss key decision points throughout the entire actuarial process, including data manipulation, actuarial calculation engine, and post-model reporting.

Description: Virtual - Session 1A: From Actuary to Data Scientist - Career Journeys into AI

Description: Virtual - Session 2A: Building and Using an AI Simulation Model

Description: You’ve written the position papers, updated the models, and designed the required disclosures, but you may be wondering how to explain the results during interim financial reporting periods to company management as well as other stakeholders. This session will explore ways to adapt existing management reporting and offer ideas for new metrics. We will explore various methods for analyzing DAC amortization patterns, market risk benefit reserve patterns, and Liability for Future Benefits (LFPB) movements. In addition, this session will explore ways to integrate changes in LDTI with business planning and other broader business issues such as product pricing considerations and reinsurance strategy.

Description: Cluster modeling is emerging as a powerful technique to manage cloud costs and run time. It also enables quick responses to "what if" scenarios, and aids in attributing results between reporting cycles. In this webcast, we provide insight into cluster modeling, present case studies that focus on various key performance indicators and discuss the benefits and challenges to cluster modeling from an insurer’s perspective. We also discuss the considerations associated with moving from an on-prem based computing solution to a cloud-based approach.

Description: For insurers to preserve and create value, they must understand their exposure to carbon and climate risks and develop decarbonization strategies. Transition plans facilitate this by encouraging organizational thinking and disclosure to the market. 2023 is a crucial year for progress on these initiatives amid evolving regulatory expectations. This session will provide an overview of the transition planning process, value creation and drivers identification, and how to incorporate these into transition and resiliency strategies. As part of climate risk mitigation strategies during transition and beyond, we will present a data and technology framework for insurers to more effectively manage climate risk. In particular, we will discuss dynamic climate risk management (DCRM) solutions which use data and technology to inform adaptation and resilience. Emerging technologies such as AI, IoT, and blockchain can also help insurers manage risks related to climate change more effectively. By attending the session, attendees will learn how to develop transition plans, adopt DCRM solutions and leverage emerging technologies to build resilience against the challenges caused by climate change.