Description: Learn how insurers provide new opportunities for efficiency and value creation from product design and underwriting through customer engagement and claims. Glimpse some industry use cases for Gen AI and its outcomes as observed by the first movers.

Description: Web3, Crypto, and Generative AI are no longer just buzzwords as they reshape the tech landscape. Viewed by many as unconventional technologies, their potential to now revolutionize the insurance industry cannot be ignored. Join us for an enlightening session that delves into the transformative power of these technologies and their current applications within the insurance sector, as well as discover how forward-thinking insurance companies are embracing these tools to unlock innovation and challenge the insurance status quo.

Description: Dive into an overview of potential customer value propositions, trends in consumer acceptance and adoption, solving the data portability issue, potential impacts of emerging partner ships with OEMs and more within the auto insurance industry during our latest webcast. Experience interactive dialogue that will allow another dimension of thinking as industry experts provide insights and expertise. Throughout this webcast, you can expect developments in the personal lines automotive telematics-based insurance landscape that will develop a further understanding of the present and future of this industry.

Description: Actuarial projects have become more intricate, involving external resources and requests beyond the Actuarial team’s purview. Whether a task appears minor or exceptionally complex, adept project and change management play a pivotal role in successful execution. In this session, we explore practical strategies for tailoring implementation management approaches. Our presenters draw from both corporate and consulting experiences, sharing valuable lessons. Additionally, they highlight effective collaboration with the Project Management Office, model developers, and model users

Description: This session will include examples of healthcare claims and market data to be used for educational purposes to highlight trends in the insurance industry. It will also highlight opportunities to enforce existing laws around fraud and abuse, and areas for regulators and legislators to focus to address this growing problem. Finally, it will discuss recent law changes and highlight areas requiring additional regulatory intervention. Expect discussions of recent claim issues and laws in the healthcare market as well as emerging issues in healthcare. The presentation will be beneficial to healthcare professionals working for health insurers, healthcare providers, auditors, regulators and healthcare providers and will also cover professionalism related topics for actuaries.

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: Come gain insights into the techniques used in Machine Learning and its applications. You'll discover the key technological advances in recent years which were behind and ultimately facilitated the breakthroughs including ChatGPT/GenAI. It's time to uncover real-world use cases where AI models and their transformative impact on our lives.

Description: Come explore an in-depth overview of telehealth to set context and navigate the continuing expansion of telehealth and its integration into the healthcare delivery system. You will examine the forces that shape telehealth offerings and expect a view of the possible futures of this evolving modality.

Description: Artificial intelligence is rapidly transforming the investment landscape. From natural language processing and large language models to physical AI applications like robotics, autonomous vehicles, and drones, the evolution of AI is reshaping both how we analyze data and where we find opportunity. We’ll begin by exploring the evolution of AI, which is already driving disruption across industries such as coding, customer service, and marketing. However, the future of AI is physical AI (drones, AVs, robotics). With valuations already stretched, and growing concerns about the “circular economy” and bubble risks, investors should focus on high-quality tech companies that generate free cash flow and deliver strong returns on invested capital. We'll explore examples of interesting companies across the globe: Meta, Alphabet, and Uber in the US; ASML in Europe; Tokyo Electron in Japan; TSMC in Taiwan; and BYD in China. The session will also examine how natural language processing and large language models are reshaping the way quantitative and fundamental managers extract insights from raw data. We’ll highlight how these tools are being deployed to enhance understanding of risk and return, and how they’re increasingly supporting collaboration between quant and fundamental teams.

Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.