Description: How do we take a Minimum Viable Products (MVP) approach to launch new insurance products? Join this moderated discussion and focus on three key development aspects: Distribution, Systems, and the design and pricing of the Insurance product itself. Come discuss reasons to choose an MVP approach and how it solves many of the product launch challenges.

Description: En el seminario hablaremos sobre los nuevos flujos de tarificación, y nos enfocaremos en la inclusión del análisis geográfico en el proceso de modelado para optimizar la extracción del riesgo en modelos de Machine Learning.

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: CMS has required hospitals to publish their chargemaster rates, cash discounts and negotiated rates as of January 1, 2021. Our panel is comprised of a data strategist, an executive from a large hospital system and an actuary.

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

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.