Description: The COVID-19 pandemic initially caused some health care services to shift away from in-person transactions to a digital form, including telehealth, e-mails, remote patient monitoring and other forms of communication. If sustained, numerous effects and counter-effects both in the cost and quality of care as well as long-term outcomes for patient health may emerge.

Description: Winning essays form the Actuarial Practice Innovation Call for Essays.

Description: Winning essays form the Actuarial Practice Innovation Call for Essays.

Description: Actuarial Innovation and Technology Topic - Innovation around the Globe

Description: The aim of this research is to survey emerging data analytics techniques and discuss their evolution and growing use in the actuarial profession. Data analytics’ applications in life and non-life insurance will also be provided.

Description: This report summarizes the results of a Delphi study to identify and debate possible new approaches or Blue Ocean Strategies to acquiring business by life insurers.

Description: Because of its complexity, ensuring the security of cyberspace is one of today’s most significant challenges. As the cyber environment becomes more integrated with the real world, the direct impact of cyber security incidents on business is also heightened. This study aims to develop a generic model that can be applied by any organization. For the validation of the developed cyber risk analysis method, simulations and sensitivity analysis will be performed.

Description: 2021 ImpACT Conference - Session 12E: AITSC Present II – Actuarial Innovation and Technology Research Roundtable 10.29.21 Recording

Description: 2021 ImpACT Conference - Session 7A: Conversion is 'Done'. What Happens Next? 10.27.21 Recording

Description: Models are a staple of an insurance company's operations. However, models that are not appropriately governed may lead to underpriced products, under-funded reserves, unfairly treated customers, and potentially catastrophic operational, legal, and reputational risks. Model Risk Management (MRM), an essential component of an insurer's ERM function, needs to keep pace with the rapidly evolving model ecosystem to limit model risk and produce results that management can trust when employing company strategy. With the adoption of ASOP #56, emerging technologies, and regulatory changes such as PBR, LDTI and IFRS 17, it is increasingly important for MRM frameworks and processes to adapt, upgrade and evolve. Discuss insights on how to embed ASOP 56 into Model Risk Management (MRM) and assess the design, development, modifications, and validation of actuarial models, the advancement of analytics and technology that empower insurers for process optimization and automation, as well as the the key components, stakeholders, best practices, and strategic benefits of a comprehensive MRM framework. Go over use cases on enhancing MRM in the context of ASOP 56, technology, and model governance. Explore how automation and optimization of the MRM process will allow companies to realize the strategic benefits of MRM, ensure successful adoption of regulation changes, and the pros and cons of emerging technology on MRM. By attending the session, you will be able to: - Describe how ASOP 56 can help improve MRM processes. - Describe the key components, stakeholders, best practices, and strategic benefits of a comprehensive MRM framework. - Identify where and how to use technology to automate and optimize the MRM process. - Evaluate the impacts of emerging technology on MRM.