Description: Leveraging the research papers "Emerging Technologies and their Impact on Actuarial Science and Top Actuarial Technologies," the presenters of this session will highlight current and emerging actuarial technology trends, discuss how these trends will impact the day-to-day work of actuaries, and explain what actuaries can do to adapt.

Description: How do you go about designing a new product? Behavioral Science is an often overlooked tool in enhancing product design and using a Discrete Choice Experiment (DCE) can give you insights to customer preferences and their willingness to pay for features. The result of this work is a product explicitly designed with your customers and market in mind.

Description: Today's best AIs often match human experts on routine tasks - but AI automation success requires skilled implementation. Nathan will present a field-tested, three-step method for automating cognitive work: (1) understanding what AI can do & choosing the right tasks, (2) documenting processes in the form of ""gold standard examples"", and (3) systematically optimizing AI performance – all using concrete examples from actuarial practice. Master this approach and amplify your own expertise by automating repetitive work with AI. Nathan Labenz, founder and former CEO of Waymark, is a technology entrepreneur and artificial intelligence analyst. With a background in science and an eye for innovation, Nathan led Waymark from its inception to its status as a trailblazer in generative AI-powered video creation. Currently, he hosts 'The Cognitive Revolution' podcast, where he explores the transformative impact of artificial intelligence on work, life, society, and culture. Through his conversations with notable builders, researchers, and investors, Nathan helps business, policy, and academic leaders stay up to date with AI developments and implications.

Description: This session explores how managers and individuals can effectively manage the integration of AI into their daily work. Learn strategies for mindset shifts, overcoming fears of job displacement, and fostering team adoption of AI as an empowering tool for innovation and productivity.

Description: Actuaries too often get pulled into data management activities, taking them away from the analysis work they enjoy and were hired to do. Without a good relationship between actuaries and IT, this can persist even at companies that have been through finance transformations. Gain insight as we focus on the important relationship between actuaries and IT, and how they can work together on best practices for extracting, managing and using the policy data needed for actuarial models. Join our discussion on a variety of data governance and control practices used when extracting policy data from administration systems. Actuaries and IT must work together to create clear data dictionaries that fully document all steps taken as policy data runs through the exchange, transform and load (ETL) processes prior to being used in actuarial models.

Description: What is bias? How do you recognize it? What to do if you see it? This webcast will help respond to these questions and provide initial guidance on how to deal with these thorny issues. Please join us with your questions and we will have a nice conversation.

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: At the end of December 2020, Congress enacted the Consolidated Appropriates Act, 2021, which included revisions to Section 7702. Effective for policies issued after December 31, 2020, the fixed 4% and 6% minimum annual effective rates under these tests were changed to refer to a market-based rate called the “insurance interest rate”. For contracts issued in 2021, the insurance rate was set to 2% - defined as the lower of the Section 7702 applicable federal interest rate based on the 60-month period ending December 2019 (2%) and the Section 7702 valuation interest rate in effect for 2020 (3.5%). This reduction in the rates used for compliance testing required significant product, operational, and technology changes for companies to reach product compliance. After 2021, the insurance interest rate is redetermined annually with a minimum change floor.

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: Level funded products often target the small group market (2-50) and can result in many manual and tedious processes for underwriting to perform risk assessment. Learn how a carrier used technology to help automate risk assessment without the need for paper medical questionnaires, and exposed a risk engine for broker quoting to enable near real-time of pricing for risk-based products. The approach reduced labor and allowed underwriting to focus solely on fallout cases while also improving pricing consistency. Discuss broader trends in the health market for risk assessment, including new machine learning cost predictions that can be used for automation and better predictions of future costs. Discussion topics will include underwriting guidelines, business rules, risk scores, and machine learning. By attending this session, you will have a better idea of new trends in risk assessment for small groups where no claims experience is available. And, better understand business rules that are common in underwriting for flags for review as well as how risk scores and machine learning can be used during the underwriting process.