Description: There are many underwriting issues being discussed in states that challenge how information is used in the underwriting process. Learn more about a variety of rules and regulations, especially Colorado’s proposed regulation requiring a governance and risk management framework for life insurance carriers’ use of external consumer data and information sources (ECDIS), and algorithms and predictive models using ECDIS. This Colorado proposal is more far-reaching than the requirements of other states like New York and Connecticut, who have put up guardrails for the use of new data sets and algorithms especially for underwriting. Listen in as experts discuss the potential issues and implications of this and other proposed regulations.

Description: There are many underwriting issues being discussed in states that challenge how information is used in the underwriting process. Learn more about a variety of rules and regulations, including Colorado's proposed regulation requiring a governance and risk management framework for life insurance carriers' use of external consumer data and information sources, as well as algorithms and predictive models using such data. Recent proposals are more far-reaching than existing requirements in states that have put up guardrails for the use of new data sets and algorithms, especially for underwriting. Listen in as experts discuss the potential issues and implications of this and other proposed regulations.

Description: Join us for a lively discussion on how accelerated underwriting (AU) practices have evolved over time and specifically because of COVID-19.

Description: Experts from both the direct and reinsurance side of the table will provide an overview of final expense products and their key features, as well as share experiences that have informed best practices when designing, selling, managing, monitoring and reinsuring these products. Trends in distribution, underwriting tools and other competitive factors will be considered through the lens of managing risk while remaining competitive in the market.

Description: Every year an AI topic goes through a hype cycle. Since 2022 and now in 2023 we continue to hear more about the ChatGPT models and how an everyday person is able to interact with AI. As more startups and applications are riding the hype, what does it all mean for our industry? Is this just a buzz or real? This talk intends to cover at a high level what are large language models, what does it mean for audit or regulatory space, and what might be some pitfalls or tolerance of error when it comes to selecting a right application for such models in insurance use cases.