Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: A look at the near future and far future of various elements of Actuarial Models as defined through ASOP 51. What is driving the complexity for inputs, calculations, and outputs. Howe will actuaries handle these challenge?

Description: Many new and innovative companies are leveraging technology to improve the effectiveness of the care provided to patients. They are employing better tools to identify patients who can benefit from specific programs that best meet the patient's need. They are also dramatically increasing the use of these programs by guiding plan members through the maze of offerings to match them with the programs that will be most beneficial to them. Employers are making these third party programs available to their members and Medicare Plans are using these new tools to identify emerging health risks for early intervention and more accurate risk scoring. This session will explore some examples of these programs, how they are being effectively integrated into the operations of health plans and how the results of these programs are being measured.The speakers will be:Raj Behal, MD, MPH,Chief Quality Officer, One Medical. Raj leads the quality and safety, value and innovation, and data science teams at One Medical. One Medical is changing the way primary care is delivered with a concierge approach with technology seamlessly woven into their offering. This includes booking appointments on line, virtual face to face care, accessible medical records and health reminders.Mylea Charval,Ph.D., CEO and Founder, Savonix. Savonix is a next generation cognitive assessment platform that brings clinical, evidence-based, and all mobile digital assessment of cognitive and emotional function. These capabilities are critical for early identification of the onset of dementia and for the proper risk assessment of seniors enrolled in Medicare Advantage Plans.Ed Cymerys, FSA, Advisor. Ed will serve as moderator. Over the last six years Ed has served as an advisor to a number of early stage technology companies looking to improve the way health benefits are being delivered.Dave Sotelo, FSA, MAAA, Actuarial Manager, Collective Health, Inc. Collective Health is an integrated solution that allows self-funded employers to administer their health plans, control costs, and take care of their people -- all in one place. They have effectively integrated more than 70 distinct third party solutions for self-funded employers and are rigorously assessing the impact of these programs

Description: Technology is transforming the retirement space and more changes are expected in the future. Join a panel of experts to discuss what are the opportunities, trends and challenges associated with new technologies in the retirement landscape and how it is expected to impact consumers, if we can enable their successful integration.

Description: Digital is the main reason over half of the companies on the Fortune 500 have disappeared since 2000." (CEO Accenture). We cannot be sure how global technology megatrends will disrupt the life insurance industry, but we can be certain that the future will not look like today. As large quantities of available data are no longer owned by insurance companies and statistical techniques become more accessible to non-statisticians, the pressure to keep up with technological advancement increases. Life actuaries must think critically about and be prepared for the coming changes and position themselves as leaders in an industry lagging behind in new technology adoption.

Description: Predictive modeling continues to gain traction in the life insurance industry with the rapid growth of available data and maturity of open source tools. New methods and technology in predictive analytics have enabled the evaluation of extremely large data more quickly and allow us to incorporate features previously not considered. The presenters will provide background on predictive modeling tools and algorithms utilized by actuaries and data scientists for life insurance, highlighting applications from marketing to underwriting.

Description: Underwriting is one of several areas in the insurance industry being impacted by insurtech. In this session, we will hear from experienced experts in underwriting transformation. Digitization, machine learning and other approaches are among topics to be discussed.

Description: Maintaining solid financial performance is a KPI for senior management. With the advancement of technology, the management can leverage new techniques to improve their decision making and focus on higher value activities in a timely manner. This presentation sets out the use of 1. correlation analysis to draw relationship between financial metrics and 2. smart analytics techniques, including text mining and analytics, to identify trends and drivers that impact the valuation of a company. We will also assess how the results of a comprehensive financial analysis could influence risk management considerations, including business steering and risk strategy.

Description: A new wave of life insurance buyers is finally here - but are we ready? In this article, Richard De Sousa shares proprietary research about the Millenial generation, its beliefs related to life insurance, and its preferences when it comes to learning about, purchasing, and engaging with life insurance products, advisors and companies. Also explored is the foundational role that technology and wellness play in driving the kind of experience that will attract millenial buyers. After reading this article, you will better understand the characteristics of this new generation as well as the innovative companies that are targeting them, and learn about different and novel ways to better engage with customers and enhance the value of your own products and services.

Description: "Visual storytelling is frequently used to effectively convey complex actuarial concepts to our clients and other audiences. When talking about data visualization, we often focus on the explanatory aspect. But data visualization is also a crucial tool in developing insights from large and complex data sets at every stage of data analytics spectrum: • descriptive (what happened?), • diagnostic (why it happened?), • predictive (what will happen?), • and prescriptive (how do I influence what will happen?). In exploratory and modeling stages of data analytics’ project, we let the data tell the story or explore our intuition and hypothesis through data pictures. We demonstrate the power of visual display in healthcare data analytics through vivid examples from the healthcare case studies. These illustrations of data visualization exploratory power range from assessing the quality of data or examining outliers, to exploring variables’ relationships and trends, to hypothesis testing, to guiding in feature selection and models’ comparison and evaluation, to model validation. Throughout these illustrations, we will discuss principles of graphical effectiveness, excellence and integrity."

Description: Read the Sept. 2017 issue of Small Talk published by Smaller Insurance Company Section. Practical information on trends that impact sections and activities.

Description: Read the April 2017 issue of CompAct published by the Technology Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Read the March 2017 issue of Small Talk published by Smaller Insurance Company Section. Practical information on trends that impact sections and activities.

Description: Up until recent past, the artificial intelligence portion of data science was looked upon cautiously due to its history of booms and flops . In the latest stream of events, major improvements have taken place in this field and now deep learning, the new leading front for Artificial Intelligence, presents a promising prospect for overcoming problems of big data.

Description: A review of the Bridging the Gap Series: Application of Predictive Modeling in VA/FIA Risk Management at the Equity Based Guarantees Conference in Chicago.

Description: The article focuses on the use of predictive analytics in the development of experience studies, pros and cons of using predictive analytics versus traditional techniques, and the implications for setting assumptions and improving profitability.

Description: October 2015 issue of CompAct, the technology section's member benefit newsletter.

Description: This article discussed the NEAT family of neural network algorithms. NEAT automatically determines the number of hidden neurons, as well as their structure. Additionally HyperNEAT can scale to very large problem domains.

Description: Shows why predictive modeling should be a necessary tool for the life actuary, identifies examples of various limitations in traditional mortality experience analyses, and also posits various predictive modeling techniques as a means of avoiding these constraints.

Description: This paper is about a concept known as the 'rate of transmission of information' or, more simply, as the 'information rate.' The authors establish the equivalence of arbitrage-free economic systems and a generalized betting model in such a way that the interpretation of the information rate, as the maximum rate of increase of an investor's capital, is preserved. As a corollary to this result, they show that the difference in the information rate between models represents the achievable incremental return associated with the superior predictor model. From Actuarial Research Clearing House 1993, Vol. 3.

Description: Presented at October 1986 Annual Meeting. This session discussion is about profit analysis and elements of profit such as: interest, mortality, lapse experience, expenses, reinsurance, taxes. It also about use of profit analysis as a business tool to drive management action.

Description: Presented at October 1985 Annual Meeting. Discusses: Measures which should be used in setting objectives and in evaluating performance for insurance companies and product lines, Variations that are appropriate for stock and mutual companies and United States and Canadian companies, Qualitative considerations in interpreting and evaluating information by the management reporting system.