Description: This paper is an introduction to AI technology designed for actuaries to understand how the technology works, the potential risks it could introduce, and how to mitigate risks.

Description: This session will share insights on how to effectively evaluate and price the management high-cost claimants from three views: clinical, payer, and provider. Can predictive analytics help with underwriting? What are effective clinical mitigation strategies? Can VBC arrangements be used to reduce total cost of care, and how can that be priced in?

Description: Discover a modernization journey within finance, actuarial investment and risk domains. Expect to learn about the world we are striving for - an event-based, self-service, automated environment that centers around a cloud-based data lake with proper data quality and governance and provides visual, on-demand solutions for reporting and analysis. We will educate the audience on the technology used to obtain this vision and the approach (including our team structures and project management ideologies) we have taken thus far to start moving there.

Description: With the growing threat of cyber incidents, organizations and governments are rightfully concerned. In recent years, cyber incidents have caused significant losses to entities and insurers across the world. Therefore, there is a need to understand and provide greater context around the topic of catastrophic cyber risk, which has implications for insurance companies, reinsurers, regulators, consumers, and society. Taking a multi-disciplinary, holistic approach, an expert panel study was conducted on catastrophic cyber risk in this four-part series of discussions and subsequent reports.

Description: As the healthcare industry becomes increasingly complex, actuaries are under pressure to analyze vast amounts of data and make informed decisions quickly. Artificial intelligence (AI) technologies like ChatGPT offer a promising solution, providing powerful tools for data analysis and natural language processing. Come explore the use of ChatGPT in actuarial analysis, focusing on healthcare applications. Begin with an introduction to ChatGPT and how it works, including its ability to understand and generate natural language responses. Then expect a discussion on the potential benefits of using ChatGPT in healthcare actuarial analysis, including improved accuracy, efficiency, and scalability. Through case studies and examples, we will demonstrate how ChatGPT can be used to analyze complex healthcare data sets, including electronic health records (EHRs), claims data, and patient surveys. We will also discuss how ChatGPT can be integrated with other AI tools, such as predictive modeling and machine learning, to enhance actuarial analysis. Finally, learn about some of the potential challenges and limitations of using ChatGPT in actuarial analysis, such as data privacy concerns and the need for human oversight. There will also be guidance on best practices for using ChatGPT in a healthcare actuarial context, including data preparation, model training, and interpretability.

Description: This report is intended to serve as a guide to the InsurTech landscape for the actuarial community and insurance practitioners. InsurTech is the use of emerging hardware, software and user interfaces to address inefficiencies or opportunities in the insurance value chain. It often involves technology, data and analytics.

Description: Imagine that the insurance purchase process is a bridge. The customer is coming from one direction and crossing the bridge and the insurer is coming from the other side. The point at which they meet is the transaction point. At one time, customers were willing to completely cross the bridge to get to the insurer. They knew that they needed insurance, and like any retail purchase, they would “travel” to make it happen. Today, the insurers are normally the ones “journeying” across the bridge. This is the future of insurance — useful, convenient, intelligent protection that does its best analytic and protective work on the client-side of the bridge.

Description: Companies with the intention of being the top, trusted source(s) in an information overloaded world.

Description: Support systems and new solutions to enable caregivers to deliver better care and reduce personal stress.

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.