Description: As technology continues to improve, the actuarial profession is challenged by the tremendous potential benefits of new technology and the concurrent creation of new risks that accompany it. Technology should enable good work products that meet strict deadlines, deliver meaningful information to regulators and shareholders, and inform management teams about opportunities to develop our businesses. Answering questions about what technology we might use and how it can aid in making the best investment in our operations is key to making value proposition arguments to support the adoption of new technology in the workplace. Learn practical examples of automation as it's applied in actuarial practice, a potential composition of the actuarial toolkit and the business of managing the use of automation. Advance the state of your workplace art through several angles of this topic as: - Categories and purposes of several kinds of automation and supporting tools that might be used in actuarial practice - How management messaging and culture affects the way automation tools are used and how technical risks are managed - Implementing automation based on the presented case studies

Description: Discover the rapidly developing health and wellness industry during the Use of Health and Wellness Data in L&H Risk Assessment webcast. Our discussion includes the maximization of data usage through several different means, including current risk selection, creation of a dynamic ongoing assessment offering or substitution of traditional underwriting information to shorten the underwriting process. Come explore these different approaches as they affect the health and wellness industry. We will express the importance of a constantly changing data usage environment in order to better prepare insurers to maximize their data and drive health and wellness forward.

Description: As insurers search for ways to optimize the value of their actuaries, cloud-based data architecture has emerged as a leading solution to deliver quality data that enables the unlocking of actuarial potential. Hear an introduction to cloud based data architecture, explore cloud-based data strategies and view a live demo. Learn about different data “zones”, piping data between the zones, transforming data, and a collection of cloud-based tools that could be used for each one of these steps.

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: 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.

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: In this session a panel of industry experts from the life insurance industry will examine the modeling challenges created by increased investment in more esoteric assets.

Description: Learn to utilize one of the most requested skills in the actuarial science job advertisements. During this webcast, discover the benefits of programming, how to identify and explain complex technical information and ways to create stunning visuals with ggplot2, which exceed the capabilities of Excel. With your webcast attendance, you will receive a document with detailed explanations, codes and underlying data. Enjoy exercises which allow the creation of fully reproducible solutions. This means an easy reproduction of all presented plots learned during this webcast. Register and take the next step toward building enticing visualizations.

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: 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.