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: 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 frequent use and complexity of today's actuarial projection models has increased the importance of having efficient models. Model optimization can reduce both cloud costs and overall end-to-end clock times, thereby allowing companies to do more with less such as reducing close times, increasing controls, enhancing analysis, doing more complicated calculations, and/or improving employee workloads during the close. From design and data to execution and audit, come explore techniques that can be applied throughout the actuarial modeling process to optimize actuarial models for improved run-time, accuracy, and reliability. There will be a focus on techniques that don't rely on model compression. Topics covered include model design pitfalls, data handling, improving convergence on asset-liability projections, strategies for interacting with the cloud, and other tips for optimizing actuarial models.

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: 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: Over the past three years, we have seen technology take hold of consumerism, becoming the key operational component to remaining competitive in an increasingly digital marketplace. In the insurance sector, today's consumers want digital, personalized solutions for all of their needs, and they are willing to offer up personal information in exchange for more personalized coverage that is based on their behaviors and lifestyle choices. If insurers want their products to be recognized as an essential in the virtual 'wallet' of Millennial consumers, they must re-assess their digital service strategy with an emphasis on customer service and rewarding the consumer. Participate in this session to explore consumer trends in the life insurance industry. You can also join the discussion about the key facets of a successful digital solution, based on the digital service strategies of current market makers who have capitalized on the boom of custom apps, social media sites and other digital distribution channels to market their products to Millennials.

Description: "As digitization and automation rapidly progress in today’s life and health industry, issues with misrepresentation during the insurance application process are also becoming a growing concern for insurers around the globe. A recent survey finds that misrepresentation in application forms costs the average insurance customer an estimated 5% to 10% in higher premiums. In order to reduce this risk, insurers must find and correct areas of misrepresentation, consult post-issue sampling, review the automated underwriting processes, and monitor the quality of financial advisory firms. Learn how predictive disclosure modeling detects and reduces misrepresentation by harnessing readily available underwriting data to analyze issues, helping insurers understand various drivers for disclosure rates and areas of misrepresentation.Advantages of this modeling to various stakeholders in the life insurance journey include improved risk selection, claims experience, and reinsurance terms for insurers. For customers, it leads to increased certainty of coverage, payout of the claim, and ultimately lower premiums on average. By the end of the session, attendees will understand: The disclosure modeling process at a high level The technical details of a standard approach to disclosure modeling: data cleaning, standardization, visualization, and predictive modeling Success stories about how predictive disclosure modeling has impacted insurers"

Description: Almost every actuary will, at some point in their career, be called upon to perform work described as business as usual (BAU). BAU work takes on many forms, ranging from daily pricing or hedging exercises to annual valuation or audit support and nearly everything in between, however, a common thread among most BAU activities is that unusual issues have a tendency to arise, resulting in inefficiencies, long hours, and sometimes missed deadlines. Learn from a panel of actuaries that will relate tales of unusual issues that derailed BAU routines. Examine how these issues arose, the impact they had on the actuary's work and life, and steps that could prevent similar issues from occurring in the future, with a focus on governance, controls, and analytics. By attending the session, you will: Understand some of the common pitfalls that can interfere with smooth BAU operations, as well as some strategies that can be employed to mitigate or prevent issues in their own BAU work.

Description: As technology continues to improve, the actuarial profession is challenged by the tremendous potential benefits of new technology and the concurrent creation of new risks that accompany it. Technology should enable good work products that meet strict deadlines, deliver meaningful information to regulators and shareholders, and inform management teams about opportunities to develop our businesses. Answering questions about what technology we might use and how it can aid in making the best investment in our operations is key to making value proposition arguments to support the adoption of new technology in the workplace. Learn practical examples of automation as it's applied in actuarial practice, a potential composition of the actuarial toolkit and the business of managing the use of automation. Advance the state of your workplace art through several angles of this topic as: - Categories and purposes of several kinds of automation and supporting tools that might be used in actuarial practice - How management messaging and culture affects the way automation tools are used and how technical risks are managed - Implementing automation based on the presented case studies

Description: This session series is sponsored by Zelis Shifting utilization of health services to efficient and high-value providers presents an opportunity to reduce harmful cascades of wasteful spending, ultimately freeing up funds for additional high-value services that will improve quality and member satisfaction. Identifying the right providers to put at the center of networks is challenging for any health care organization. How can you objectively determine which providers are delivering the greatest value when compared to their peers? And once those providers are identified, what’s next? Join Zelis and their partner HealthCorum to review a case study on a shared services organization where they leveraged statewide multi-payer claims data to produce provider level analytics, allowing for transparency into provider practice patterns at a granular level. By attending this session, you will be able to: - Create a fair methodology to benchmark providers. - Develop metrics and scores to identify high-value providers. - Produce actionable data to be used for network optimization strategies.