Description: All you wanted to know about InsurTech but were too afraid to ask! This one-day event will feature four webcasts that will unlock and enhance the world of InsurTech. By attending this webs series, you will find answers on what InsurTech is about and what it’s trying to solve. Dive deeper into the successes of InsurTech and find out how to join this established organization. Session 1 – Introduction to InsurTech Set the stage for the day, defining the main types of InsurTech companies and where these companies fit in the insurance value chain. Come discover where actuaries could play a role and the importance of the profession within this space. Technology driven innovation is multifaceted and could take place within an established carrier or a start-up.

Description: All you wanted to know about InsurTech but were too afraid to ask! This one-day event will feature four webcasts that will unlock and enhance the world of InsurTech. By attending this webs series, you will find answers on what InsurTech is about and what it’s trying to solve. Dive deeper into the successes of InsurTech and find out how to join this established organization. Session 1 – Introduction to InsurTech Set the stage for the day, defining the main types of InsurTech companies and where these companies fit in the insurance value chain. Come discover where actuaries could play a role and the importance of the profession within this space. Technology driven innovation is multifaceted and could take place within an established carrier or a start-up.

Description: In this session, we will explore the opportunities and challenges of leveraging AI tools to support valuation actuaries in their work. We will begin by introducing the concept of large language models (LLMs), discussing their capabilities, limitations, and potential errors. We will then delve into case studies that demonstrate how LLMs can be effectively utilized to reference actuarial documents.

Description: Zero-Knowledge Proofs (ZKPs) represent an innovative suite of cryptographic algorithms that empower the insurance community to validate the accuracy of sensitive information without revealing the actual information itself. Mutation with the use of non-traditional data entering the insurance processes of customer acquisition and in-force management is currently taking place. A shift toward using non-traditional data in insurance customer acquisition and in-force management processes is currently taking place. This evolution is captured in the Australian market through surveys and interviews. Come and join us to learn about these two new research studies that open up the possibilities for the insurance industry to be more efficient in delivering its value to the society.

Description: We will share the latest research from the Actuarial Innovation and Technology (AIT) Strategic Research Program, with a focus on research relevant to health actuaries. Attendees will learn about leading-edge technology that has impacts on actuarial functions, both broad and specific innovations and breakthrough technology, and the resulting impacts.

Description: Dive into this review on Artificial Intelligence and Machine Learning (AIML) techniques for actuarial modeling for life & annuities. Presenters will showcase learnings from the recent SOA research paper "Predictive Analytics and Machine Learning – Practical Applications for Actuarial Modeling" (Nested Stochastic). The researchers will go over models and methodologies used to develop high-fidelity proxy models for various life & annuity applications.

Description: Generative artificial intelligence (AI) tools like ChatGPT will redefine the nature of work across industries in coming years, What does this mean for the actuarial profession? Delivering generative AI tools to actuaries capable of leveraging them effectively will dramatically modernize how actuaries work and contribute to organizational growth. In this educational session, explore how generative AI can accelerate actuarial model development. Gain an introduction to generative AI and its implications for actuarial modeling. Learn how it specifically helps actuaries improve accuracy, reduce errors and save time in model development. Then explore use cases, including how generative AI can improve data cleaning, model building, as well as simulate scenarios and test model robustness. Close with a discussion on how to integrate generative AI into actuarial modeling workflows effectively, including common challenges actuaries may face during implementation and tips to overcome them. You will come away with a deeper understanding of how generative AI can accelerate actuarial model development.

Description: Learn how modernization of data, models, and technology are influencing workflows. This webcast will address how workflows are changing in response to new regulatory requirements and the impacts the changes have on modeling and end-to-end future state operating models. Industry leading actuaries will discuss: How team collaboration can increase quality and speed of reporting to internal and external stakeholders How to strengthen controls and compliance frameworks across finance and actuarial departments How to modernize actuarial input/output for strategic analysis and insights How to attract and retain top talent by improving opportunities for actuaries There will also be dedicated time to ask questions of those who have made the transition.

Description: Leveraging the research papers "Emerging Technologies and their Impact on Actuarial Science and Top Actuarial Technologies," the presenters of this session will highlight current and emerging actuarial technology trends, discuss how these trends will impact the day-to-day work of actuaries, and explain what actuaries can do to adapt.

Description: Today's best AIs often match human experts on routine tasks - but AI automation success requires skilled implementation. Nathan will present a field-tested, three-step method for automating cognitive work: (1) understanding what AI can do & choosing the right tasks, (2) documenting processes in the form of ""gold standard examples"", and (3) systematically optimizing AI performance – all using concrete examples from actuarial practice. Master this approach and amplify your own expertise by automating repetitive work with AI. Nathan Labenz, founder and former CEO of Waymark, is a technology entrepreneur and artificial intelligence analyst. With a background in science and an eye for innovation, Nathan led Waymark from its inception to its status as a trailblazer in generative AI-powered video creation. Currently, he hosts 'The Cognitive Revolution' podcast, where he explores the transformative impact of artificial intelligence on work, life, society, and culture. Through his conversations with notable builders, researchers, and investors, Nathan helps business, policy, and academic leaders stay up to date with AI developments and implications.