Description: Recent reports have expressed concern over historically high levels of corporate indebtedness, with an increasing share of investment-grade debt now in the BBB category, just above speculative-grade. This session will explore trends in the corporate debt market, with a focus on the risks and opportunities for portfolios in the current environment.

Description: Investment opportunities are driven by events in the economy and how participants in the financial markets react to those events. This keynote address will highlight current economic themes and their impact on investment opportunities.

Description: The presenters will explore policyholder experience data for long-term products, risks of over-fitting data in developing behavioral models, and ways to mitigate these risks and develop a sustainable and coherent framework to translate complex policyholder behavior experience data to behavioral models using company- and industry-level data. At the conclusion of the session, attendees will be able to: - Identify key drivers of policyholder behavior for long-term product - Understand the risks of over-fitting data and a false sense of precision in developing behavioral mode - Understand techniques that can be used to mitigate these risk

Description: Are you 'dying' to learn about how the mortality data, submitted under the NAIC's Valuation Manual Experience Reporting Requirements (VM50 & VM51), is used? The SOA's Individual Life Experience Committee (ILEC) will describe the data validation 'experience' and explain on how the data eventually influences statutory valuation requirements. The presenters will also 'expose' attendees to the latest insights and observations in the data. Attend this session and learn how the SOA 'minds it's p's and q's' in individual life insurance. At the conclusion of the session, attendees will be able to: - Describe the various types of SOA research that have been performed on the data collected under VM50 and VM51 - Describe the database, released by the SOA, that is compiled from the data collected under VM50 and VM51 - Explain the importance of data quality in VM50 submissions - Identify how the data that is submitted under VM50 would be used to determine Principle-Based Reserving requirement

Description: The presenters will describe how the new IFRS 17 requirements will impact the profitability of ULSG products. This could have a significant impact for companies who will be reporting financials based on IFRS 17. The shift from US GAAP to IFRS 17 will likely increase the volatility in IFRS earnings, which may prompt companies to explore potential product changes.

Description: Creating the complete view and management of the complex interactions between care providers, medicines and behavior.

Description: Principal Analyst Laurie M. Orlov of the Aging in Place Technology Watch will present a roadmap for the technology and ITSS marketplace. She will explore where it has been, what it does best, where it is going, and the challenges it faces. She has been a leading researcher and independent analyst in this field for more than 20 years.

Description: The U.S. health care industry has gone through a dramatic change during the past several years. The business model has moved from a risk selection model to a risk management model. People can shop online for their health care coverage. Everyone is welcome! Annual and lifetime dollar limits, underwriting and the pre-existing conditions exclusion are all in the history book now. Facing the challenges of the post-reform era, many health insurance carriers began using big data analytics on all aspects of their decision-making processes. The goal is to be able to compete on analytics in this quickly changing environment. However, becoming an analytics competitor is not easy. It requires the belief from the leadership and a group of dedicated analytical professionals to solve emergent business problems that existing strategies cannot address in an evolving market. These problems include marketing for acquisition and retention, coding accuracy, revenue growth, health care disparity, payment integrity, quality of care, health care cost reduction and, ultimately, personalized care management. In this section, audience will learn a basic understanding of the role of predictive analytics in US Healthcare marketplace.

Description: Artificial Intelligence (AI) is expected to change the insurance industry more in the next 10 years than it has changed in the past 100 years. Rapid advancements in computing power and the exponential growth of Big Data are creating more opportunities to incorporate AI techniques and methodologies into actuarial work. This session is for the practicing actuary who would like to learn more about AI and how to use it to analyze insurance data. At the conclusion of the session, attendees will be able to understand the fundamentals of AI, to build an AI model and to identify AI opportunities in their work.

Description: The implementation and execution of IFRS17 requires the insurance industry to re-define the skill set matrix of Actuary, Accountant and IT practitioner. Professionals with the ability to, 1. understand the business context of IFRS17, 2. gain insight from complex actuarial & accounting & data system 3. communicate technical content in a compelling way, will be the key players of the future Finance function of the insurance industry. They will also become the foundation of the new formations of IFRS17 delivery team containing hybrid or cross functional capabilities. This presentation will discuss: 1. the new skills, ranging from account posting to data governing, required by actuaries to stay relevant in a digitalized Finance function under the IFRS17 world 2. the actuarial related roles available within an E2E IFRS17 reporting process 3. the potential formation of the IFRS17 reporting team