Description: Dive into the basics of Generative AI (including Large Language Models and ChatGPT), why it is important, and how might it potentially affect how people and actuaries perform their work. After a brief introduction, you'll walk through some live demonstrations of the technology followed by interactive breakout discussions on how the technology might impact each attendee's work. You will also culminate in a summarization of the breakouts, discussion of implications for the profession, as well as precautions to take when using the technology. Come discover the basics of the technology and its implications for the work performed by actuaries. They will also learn, via the live demonstration, how to access ChatGPT (or similar platform) and will follow along how to generate outputs from the application based on some example inputs provided. Take away some resources from which you can learn more about Generative AI, Large Language Models, ChatGPT, etc.

Description: This webinar is a panel discussion covering the technology behind blockchain and digital assets as well their uses, implications and risks. Investment considerations for both tokens and fund structures, along with a variety of other topics in the space will be addressed.

Description: This session is an in-depth interview of two actuaries turned Artificial Intelligence (AI) experts. We aim to have a conversation that gleans into each of their journeys and what led them to the path they are now on. We will open up the last ten minutes for audience questions. At the conclusion of this session, attendees will know Eric and Joe much better, have an understanding of what AI/machine learning/data scientist work is like for actuaries, and, for those who are curious to get more involved with AI, some encouragement to pursue their interests.

Description: As the speed of technological innovation increases, actuarial leaders are trying to determine how to use emerging technologies to unlock more business value and improve competitive positioning. This includes enabling new capabilities, improving process efficiency, and increasing the effectiveness of human capital. The session will discuss what we are hearing from clients who are in the process of transforming their business, how they are approaching these transformations, and what they are focusing on. This will include different aspects of transformation, including visualization dashboards, data science applications, no-code platforms, automation, data, and the cloud. Find out how organizations are thinking of human capital and collaboration between actuaries, IT, and other professionals.

Description: The recent wave of innovation in GenAI has unlocked an entirely new category of AI applications. Whereas AI has traditionally focused on automation and predictions, LLM’s and Generative AI give us the opportunity to create AI applications that act as copilots. This emphasis on contelligence and empowering knowledge workers has already begun to change the way work is done. High expertise knowledge workers such as actuaries will be able to use this wave of AI Apps to make better decisions and dedicate more of their attention to the parts of the role that require domain expertise and judgement. Join Charles Morris, Microsoft’s Chief Data Scientist for Financial Services, as he talks about the latest advancements in this space and the opportunities it creates for expert knowledge workers. Charles Morris is the Chief Data Scientist for Financial Services at Microsoft. Charles has deep expertise in the financial services domain and works with many of the world’s leading asset managers, banks, insurance companies, and financial platforms to develop and execute their AI strategies.Currently, Charles is focused on applying Generative AI to financial services and advising many top financial institutions in building their own copilots and reimagining their businesses.Charles is a data scientist and machine learning engineer by profession and an expert in MLOps. Before joining Microsoft, Charles practiced data science, machine learning, and cloud engineering in the asset management industry. He has been a featured keynote speaker at several prestigious events and forums and is a highly sought after public speaker in the domain of AI and Innovation.

Description: The advent of emerging technologies such as blockchain, decentralized AI, and advanced privacy preserving techniques have created the possibility that billions of individuals may be able to maintain sovereignty and control of their own data. As data becomes increasingly valuable as the means of production for a variety of digital goods and services, this self-sovereignty of data may create a new economic framework of individualized data monetization. This session will explore the key factors, technologies and mega-trends in health and medicine aligning to drive this new economy and explore what the future may look like from a data valuation perspective as the current $120 billion secondary market for health data expands to include consented health and health-relevant data from more individuals, to the benefit of all individuals and the healthcare system as a whole.

Description: Catch up on conversations being had around the use of cloud computing. A panel consisting of a broad group of experienced actuaries on the front lines of implementing models within cloud environments will discuss the following topics: - Assumptions and calculation methods for optimizing runtimes - Strategies for reporting - Parallelization of calculations - Use of open systems to optimize runtimes - Organization of modeling teams to mitigate waste - Key machine specifications that impact runtime

Description: Understanding how to effectively adopt AI is critical to staying competitive. This session will guide you through the five stages of AI adoption, with a deep dive into two key stages: Operational Optimization and Collaborative AI Integration. You will learn how to harness AI to streamline operations and boost efficiency, while also exploring the nuances of integrating AI in decision-making to enhance outcomes through human-AI collaboration.If you are seeking practical insights on maximizing AI's benefits while maintaining human oversight, this session will provide the tools and strategies to help you do just that—ensuring that your AI adoption journey is both effective and aligned with your business goals.

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: Session 2– Going Deeper through examples InsurTech (1) identifies a pain point to the industry, (2) brings a technology solution to address the shortcoming with a (3) business model that makes sense for all. Expect an illustration of this three-point structure through a handful of start-ups from various backgrounds (health, life, general operation) dealing with various aspects of the insurance value chain (acquisition, risk management, back-office…).