Description: Session 2– Going Deeper through examples InsurTech (1) identifies a pain point to the industry, (2) brings a technology solution to address the shortcoming with a (3) business model that makes sense for all. Expect an illustration of this three-point structure through a handful of start-ups from various backgrounds (health, life, general operation) dealing with various aspects of the insurance value chain (acquisition, risk management, back-office…).

Description: The landscape of the reinsurance industry is evolving amid profound changes in the insurance sector. Innovation is vital for reinsurers as risks become more complex and insurers transition from a role of "protection" to "prevention." Successful reinsurers are responding to market dynamics, particularly through open innovation – collaboration with startups.

Description: You’ve written the position papers, updated the models, and designed the required disclosures, but you may be wondering how to explain the results during interim financial reporting periods to company management as well as other stakeholders. This session will explore ways to adapt existing management reporting and offer ideas for new metrics. We will explore various methods for analyzing DAC amortization patterns, market risk benefit reserve patterns, and Liability for Future Benefits (LFPB) movements. In addition, this session will explore ways to integrate changes in LDTI with business planning and other broader business issues such as product pricing considerations and reinsurance strategy.

Description: Actuarial Process Optimization (APO) is a technology-focused methodology for bringing together actuarial and technology teams to critically examine and optimize actuarial processes, specifically targeting processes that are most time consuming and have the highest risk of failure. From claims analytics to valuation and experience analysis, modern technology can help actuaries optimize their time and focus their attention on higher value tasks. In this session, we will explore opportunities for APO in the Health insurance industry and demonstrate how technology can be used to improve the actuarial process using an agile and targeted approach.

Description: New digital data known as alternative data is everywhere. Our industry has seen the financial, and hi-tech industries leverage new digital data to expand their key offerings and core services. From the lens of the global life and health industry, new digital data is still searching to be further understood. Risk assessment is a current focus area for using alternative data. A key question is even though risk assessment has always been data-driven, can it now move to the next level with the arrival of this alternative data. Can we use alternative data to make the risk assessment process quicker, cheaper, or faster thereby driving more sales and better conversion rates. It is an exciting time! With the increased adoption of health and well-being apps, data such as physical activity, nutrition, sleep, and mental wellness is now readily available. Expanded data such as digital biomarkers, IoT data, electronic health records and many more can also be accessed. However, how to effectively implement alternative data remains a challenge across the industry. We firmly believe it is, and will continue to be, imperative to take a structured approach to alternative data through a set of key considerations and a framework of principles.

Description: During the2019 InsureTech Connect conference in Las Vegas, the Society of Actuaries (SOA) and Plug and Play today announced the two organizations are nearing an agreement on professional development offerings and learning opportunities. The SOA and Plug and Play plan to work together on a variety of InsurTech-focused events and projects for the SOA membership, insurance industry and technology sector.

Description: Cluster modeling is emerging as a powerful technique to manage cloud costs and run time. It also enables quick responses to "what if" scenarios, and aids in attributing results between reporting cycles. In this webcast, we provide insight into cluster modeling, present case studies that focus on various key performance indicators and discuss the benefits and challenges to cluster modeling from an insurer’s perspective. We also discuss the considerations associated with moving from an on-prem based computing solution to a cloud-based approach.