Description: Is your development team or IT staff growing tired of last-minute requests to include additional functionality? Have you strained to explain challenging actuarial topics to non-actuarial staff for implementation? Do your teams find themselves revisiting deadlines & timelines when building solutions? During this interactive panel discussion, three technologists (two software engineering managers and one data scientist) along with three actuaries will discuss real world problems and approaches using experience from previous projects. Although the challenge of running efficient software teams is not unique to actuarial science, this webcast will discuss best practices on how to organize teams to reduce friction and context switching. Presenters will also explore unique actuarial challenges and concepts including how to address standards on data quality when building software, how to build intuitive software that meets actuarial standards and how test-driven development makes it easier to meet actuarial standards of practice.

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.

Description: Data visualization is a hot topic within the industry. This session will showcase business use cases of data visualization models to build, for example, a claims trend story from outlier analysis to root cause in real time. There are many different ways to assemble pie, bar, or other types of charts, but critically understanding the business questions and following visualization best practices can accelerate the pace of identification to actionable result. Additionally, moving up the analysis continuum from busy Excel files with thousands of numbers to automated Tableau dashboards highlighting only the most impactful numbers with full drill-in capabilities improves both efficiency and communication to non-technical audiences.

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: This report reviews the academic and grey literature on “cyber insurance” and “cyberactuary” across multiple disciplines.

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: This session series is sponsored by Zelis Claim analytics produces valuable insights about provider cost, quality, and referral patterns. Provider networks can be created around high-value providers to improve clinical outcomes while lowering the cost of care. Programs to improve provider performance and/or incentivize members to choose high-value providers exist, but how do you bring all of this together to achieve desired outcomes? Join us to learn how to leverage provider level analytics to build and optimize a network with high-value providers at the center. Analyze the network for competitiveness and adequacy and demonstrate progress toward network cost saving goals to key stakeholders by modeling claim data for a member population. Finally, ensure the success of your network through an incentive program that shifts utilization to those high performing providers. By attending this session, you will be able to: - Build a realistic provider network with high-value providers at the center. - Evaluate the overall financial impact of network build and optimization efforts. - Learn about an innovative member incentive program.

Description: In this article, Aneesha Deshpande examines how Hagerty's complementary business models- specialty insurance and automotive lifestyle and membership services- are a result of a deep understanding of customer needs.

Description: On November 30, 2021, the SOA Research Institute assembled an industry expert panel to discuss current issues in actuarial technology. Each participant who volunteered to be part of the discussion was selected because of their management-level responsibilities for the application of technology in an actuarial context. The group was diverse in terms of employment, including company actuaries from life, health, and property/casualty backgrounds, as well as consultants from various kinds of firms. This document summarizes the discussion that occurred during the three-hour meeting. To encourage candor during the discussion, participants were assured that this report would not attribute comments to individuals or companies, so no names appear in the body of the report. The names of those who participated are included at the end of the report.

Description: View the Avoiding Unfair Bias in Insurance Applications of AI Models