Description: The Society of Actuaries (SOA) Research Institute released an updated report summarizing current issues regarding actuarial technology. In March 2022, for a second time, the SOA Research Institute gathered a panel of insurance industry experts for an update on current actuarial technology topics to help identify directions for future research efforts. This report summarizes their discussions on the Actuarial operating model, technology risk and open-source software.

Description: The Society of Actuaries (SOA) Research Institute released a report summarizing the InsurTech Insights Americas conference held May 24-26, 2022. InsurTech, a concept created 10-15 years ago, is maturing and currently western financial markets are recording a downward trend while inflation is rising. While this downward pressure on financing makes investors more cautious, stakeholders are working towards partnerships to improve the overall effectiveness and purpose of the insurance industry.

Description: Decentralized insurance alternatives is a rapidly expanding sector of Decentralized Finance (DeFi), an emerging and growing financial ecosystem powered by blockchain technologies. The purpose of this report is to review and discuss the business models and operating designs of decentralized insurance alternatives, which may have significant implications for traditional insurance businesses, as well as the actuarial profession.

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: Actuaries today have unique opportunities to analyze, understand and use data for strategic decision making. With nearly unlimited computing power and a broad spectrum of data sources at our fingertips, we are enabled to support our actuarial judgment with comprehensive findings backed up by deep data analyses.

Description: How can generative artificial intelligence (AI) be leveraged to transform and modernize life insurance? Gain an overview of AI and some of their current use cases in the industry, including the latest trends in the market. Next, you will learn about the current challenges companies face, including costly underwriting procedures, customer acquisition and retention, and complicated application processes. Finally, explore how generative AI can help address these challenges, improve customer experience and help streamline processes to free up more time for higher-level business insights and other company initiatives.

Description: "As digitization and automation rapidly progress in today’s life and health industry, issues with misrepresentation during the insurance application process are also becoming a growing concern for insurers around the globe. A recent survey finds that misrepresentation in application forms costs the average insurance customer an estimated 5% to 10% in higher premiums. In order to reduce this risk, insurers must find and correct areas of misrepresentation, consult post-issue sampling, review the automated underwriting processes, and monitor the quality of financial advisory firms. Learn how predictive disclosure modeling detects and reduces misrepresentation by harnessing readily available underwriting data to analyze issues, helping insurers understand various drivers for disclosure rates and areas of misrepresentation.Advantages of this modeling to various stakeholders in the life insurance journey include improved risk selection, claims experience, and reinsurance terms for insurers. For customers, it leads to increased certainty of coverage, payout of the claim, and ultimately lower premiums on average. By the end of the session, attendees will understand: The disclosure modeling process at a high level The technical details of a standard approach to disclosure modeling: data cleaning, standardization, visualization, and predictive modeling Success stories about how predictive disclosure modeling has impacted insurers"

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: Get up to date on the current and potential use of artificial intelligence (AI) in the health care space. In this interactive session, you will learn how AI is being used today and discover its potential to reshape and revolutionize health care. Take advantage of the opportunity to find out how AI can influence patient experience in every phase of health care delivery, and join the conversation about the challenges and limitations that arise with the use of this technology.

Description: This report is a comparison document discussing the regulatory frameworks for non-discriminatory AI usage in the insurance industry across different jurisdictions, including the United States, European Union, China, and Canada. It highlights current developments and regulatory bodies relevant to AI regulation in each region.