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: This research assesses the evolution of life insurers’ Actuarial Transformation efforts and the future outlook, with a focus on emerging Advanced Analytics techniques.

Description: Agility, responsiveness, and real-time access to data are critical today, and they become even more critical tomorrow. As business leaders, we need to drive a more responsive decision-making culture, and we can do this by utilizing the concept of continuous improvement. Discover how an agile company can increase its financial IQ to improve the speed, openness, confidence, and frequency of finance-led decision-making - and ultimately position finance as the strategic core of the organization.

Description: This webinar is a panel discussion covering the technology behind blockchain and digital assets as well their uses, implications and risks. Investment considerations for both tokens and fund structures, along with a variety of other topics in the space will be addressed.

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.

Description: All you wanted to know about InsurTech but were too afraid to ask! This one-day event will feature four webcasts that will unlock and enhance the world of InsurTech. By attending this webs series, you will find answers on what InsurTech is about and what it’s trying to solve. Dive deeper into the successes of InsurTech and find out how to join this established organization. Session 1 – Introduction to InsurTech Set the stage for the day, defining the main types of InsurTech companies and where these companies fit in the insurance value chain. Come discover where actuaries could play a role and the importance of the profession within this space. Technology driven innovation is multifaceted and could take place within an established carrier or a start-up.

Description: The old adage 'insurance is sold not bought' has been used to dismiss digital insurance and support the old agent model of distribution. However, modern distribution systems address this with personalization. This is not simply a customized application form based on age or gender. Personalization is much more dynamic and happens in real-time. It's about tailoring the end-to-end experience to meet the needs and expectations of the specific applicant. The core tools to achieve this are AI learning and nudges from behavioral science.

Description: To complement the limitations posed by the static nature of current survey papers in cyber risk literature and to facilitate cyber risk research, this project features a Natural Language Processing (NLP)-powered repository and search tool “CyLit” built by the authors.

Description: Chairperson's newsletter outlining section strategy for 2023.

Description: This newsletter provides a regulation outlook for the use of AI/ML in insurance industry, interpretations of regulatory expectations and what insurers should consider when managing risks associated with the development, implementation and use of AI/ML models/tools.