Description: This session aims to equip life insurance actuaries with the insights and tools needed to prepare for and navigate the sweeping changes that generative AI is poised to bring. Attendees will gain deeper awareness and understanding of how Gen AI will impact more broadly across their organization. They will be prompted to think more broadly on the subject rather than specific use cases, to consider wider operational and human impacts of Gen AI. This will include both positive impacts, to be capitalized, and negative impacts, to be understood and mitigated. The session will also afford the opportunity for the audience to share views and join in the discussion through polling and questions, and will therefore provide attendees with an opportunity to hear how others are considering these challenges.

Description: Join our expert panel for a deep dive into the evolving role of actuaries as technology and innovation reshape the insurance industry. This session will cover the impact of insurtech startups and emerging business models, as well as the competencies actuaries need to thrive in this changing environment. You'll gain insights from industry leaders, futurists, and experienced actuaries who have navigated significant changes in their careers. Learning Outcomes: Understand the key trends in insurtech and other emerging technologies affecting the actuarial profession. Identify the skills and knowledge actuaries need to adapt to the evolving landscape. Explore potential career paths and opportunities for actuaries in insurtech and other innovative areas. Learn strategies for staying resilient and relevant in a rapidly changing industry.

Description: "This video discusses the importance of AI model governance, cloud services and data management. It informs particularly in low-code and co-pilot systems, and the necessity of robust lifecycle management for risk mitigation. It highlights how cloud platforms like AWS, Azure, and Google Cloud are revolutionizing AI through scalable and efficient services. Additionally, the video emphasizes the critical role of effective data management and governance to ensure high-quality, compliant, and ethical AI outcomes.

Description: This session will dive into how artificial intelligence is poised to reshape the actuarial profession. Attendees will learn about the potential impacts of AI on actuarial tasks. The presentation will highlight both the opportunities and challenges that AI presents to actuaries.

Description: Model Risk Management at insurers has been an established practice for well over ten years now. Until recently, a primary focus of model governance was on actuarial models. The Gen AI evolution we’ve experienced in the last two years, has shone a spotlight on “all things AI”. Along with the increased capabilities AI brings, there is increased concern for the proper use of these models, protection of IP, safeguarding of PII, and overall security. This session will bring together a diverse panel to discuss how we can adapt our established practices for these new models to minimize the risks that come with Gen AI and help our organizations optimize the benefits of AI.

Description: Join a dynamic two-part panel, where we'll delve into organizational and personal innovation strategies, tactics, and success stories. Begin by uncovering how venture studios, payor/employer partnerships, and startup business units can propel your company's innovative edge.

Description: In this session, actuaries and data scientists will describe how the Cleveland Clinic has utilized large language models to support caregivers with difficult end of life conversations with patients and their loved ones. While artificial intelligence is often prefaced with words of caution, it can also be harnessed for good.

Description: Join us for an insightful webinar on how actuaries can effectively operationalize Large Language Models (LLMs) in their work. We'll walk you through key areas and provide additional context to help you understand the practical applications. There will also be time for questions and answers to ensure you get the most out of this session. Don't miss this opportunity to enhance your actuarial practice with the latest advancements in technology!

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: Health Insurers commonly face challenges regarding data including: Limited knowledge of how to handle large datasets Lack of a common language to discuss data challenge Limited understanding of how to use data and analytics to inform and facilitate decision-making We are seeing a turn in the market to use data and analytics to cultivate an insights-driven culture. But we are noticing a disconnect between the actuaries that are able to glean these insights and the new technologies required to handle the amount of data available to them. During this session you will look at moving from MS Excel to more advanced data handling and modeling tools (e.g., Alteryx), visualization tools (e.g., Power BI & Tableau) and expanding utilization of these tools and analytics. By attending this session, you will: • Understand data and analytics (D&A) concepts, methods, and fundamentals to help drive value. • Gain an appreciation for data privacy, protection protocols, and related ethical considerations when working with data. • Be able to identify of how to use data and analytics to inform and facilitate decision-making.