Description: Artificial Intelligence (AI) has become a key component of the insurance landscape and getting full value from an AI depends on much more than simply building the model. Please join us to hear the challenges and potential solutions around successfully deploying an AI-driven initiative within an organization. Hear from panelists as they describe the human impacts of model implementation, how to assess a model for effectiveness and (lack of) bias, and detail the journey of implementing AI-driven underwriting models at a large insurance company.

Description: There has been a shift in finance and actuarial modernization in the insurance industry over the past 2 to 3 years. Discuss the latest trends in the marketplace and the key changes we see actuaries and actuarial employers needing to make in the future of work. Learn how actuarial work is evolving and about the changing manner in which work is performed. Brainstorm specific ways actuaries can thrive in the future, including performing more strategic work.

Description: Join our upcoming webcast led by Dale Hall, Managing Director of the Society of Actuaries Research Institute, who will delve into important considerations for actuaries as they navigate the realm of AI.

Description: As an increasing number of insurance companies, both traditional and startup, attempt to attract new customers, we see waves of product innovation ideas with goals to break into the under and un-insured markets. Some of these ideasare intended to be served as alternatives to traditional insurance focusing on adding enhancements to existing products ranging from flexible benefit design to accelerated underwriting. Others look to engage and attract new customers through a streamlined sales process in order to cultivate customer relationships and increase brand recognition. Explore how innovative companies break through obstacles from both the actuarial and compliance standpoint to bring new solutions to the marketplace. By attending the session, you will: - Understand types of innovation taking place in the life insurance industry. - Provide ideas for product of the future. - Learn different aspects of innovation on life insurance such as distribution, cost and compliance.

Description: Models are a staple of an insurance company's operations. However, models that are not appropriately governed may lead to underpriced products, under-funded reserves, unfairly treated customers, and potentially catastrophic operational, legal, and reputational risks. Model Risk Management (MRM), an essential component of an insurer's ERM function, needs to keep pace with the rapidly evolving model ecosystem to limit model risk and produce results that management can trust when employing company strategy. With the adoption of ASOP #56, emerging technologies, and regulatory changes such as PBR, LDTI and IFRS 17, it is increasingly important for MRM frameworks and processes to adapt, upgrade and evolve. Discuss insights on how to embed ASOP 56 into Model Risk Management (MRM) and assess the design, development, modifications, and validation of actuarial models, the advancement of analytics and technology that empower insurers for process optimization and automation, as well as the the key components, stakeholders, best practices, and strategic benefits of a comprehensive MRM framework. Go over use cases on enhancing MRM in the context of ASOP 56, technology, and model governance. Explore how automation and optimization of the MRM process will allow companies to realize the strategic benefits of MRM, ensure successful adoption of regulation changes, and the pros and cons of emerging technology on MRM. By attending the session, you will be able to: - Describe how ASOP 56 can help improve MRM processes. - Describe the key components, stakeholders, best practices, and strategic benefits of a comprehensive MRM framework. - Identify where and how to use technology to automate and optimize the MRM process. - Evaluate the impacts of emerging technology on MRM.

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: For actuaries, finance and IT professionals, the long-duration targeted improvements (LDTI) implementation has been a career milestone. These projects were often the most significant undertaking of individuals’ careers, with respect to scale, complexity and duration. Join this session and participate in small groups, with consideration given to ensure each group has representation from both 2023 and 2025 filers., with moderators presenting questions to encourage small group discussion.

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: Blockchain and cryptography have seen significant adoption around the world, and while still in early stages, it has started to make an impact in a few industries such as finance, gaming, and metaverses. There are now organizations providing insurance services on blockchain. Although this is limited to protection against financial losses in markets, the sheer adoption has sparked interest for other insurance use cases and some startups have already started experimenting in the spaceThe presenters will first introduce basic concepts of the blockchain supported by a demo, while explaining how cryptography and distributed ledger technology (DLT) is used to make it work. We will further introduce consensus mechanisms so that participants understand how decentralized blockchains are governed without a centralized party. The session will then shift focus to the broader market and different uses of blockchain focusing on the insurance space, covering both the current and potential future use cases. By attending the session, you will: - Understand the basics of how blockchain and cryptography work, - Have a better understanding of the broad categories of the crypto market answering the question, 'why are there 10,000 crypto currencies and how do I navigate these?' - Understand how blockchain plays a role in insurance and why insurance is important to the blockchain ecosystem.

Description: Discuss various analytics and use cases using payer published reimbursement contract data under federal mandate of Transparency in Coverage. These contract rates are publicly available in machine readable format (MRF) starting July 1, 2022, and refreshed monthly. By attending the session, you will have a better understanding of the state-of-art development and analytics using MRF data, including the technologies used to extract and analyze huge MRF files, validation and limitations of published rates, and their use cases.