Description: 1. Overview of challenges with Managed Medicaid (MLTSS/Dual Medicaid) 2. Mechanisms to identify the business problem. 3. Predictive Model approach a. Understand / Define the business problem b. Determine the appropriate solution c. Model build (data manipulations/transformations) d. Model scoring & monitoring results 4. Case Study - Disenrollment predictive model a. Describe the problem b. Recommended model to solve the problem c. Results d. Monitor results e. Fine-tune / calibrate model

Description: The breakfast will feature an update on the multiple activities that have stemmed from Initiative 18/11 since the release of the conference report earlier this year, as well as recent happenings in the Health Section and time for networking. <em>This breakfast is open to all meeting attendees free of charge. If you plan to attend, you must register in advance.

Description: This session provides actuaries who work with group life and disability products with the opportunity to participate in a moderated discussion with their colleagues. The specific topics will be those of interest to attendees, but are likely to include recent experience trends, product development, pricing and reserving.

Description: Claims are insurers deepest and richest transactional data – yet we rarely unleash the full potential of this data. In this session, we will discuss potential sources and attributes of claims data, traditional approaches alongside new analytic techniques and how to integrate models into existing claims management processes. During this session, the presenters will discuss different areas of how machine learning can drive significant value unleashing the potential in claims data, these include data capture, claims management and workflow design as well as behaviour prediction. In addition, the audiences will also have opportunity to learn different use cases of how claims models taking advantage of machine learning, such as foreign death fraud detection and critical illness triage.

Description: This presentation from Session 56 of the SOA June 2005 New Orleans Health/Pension Spring Meeting discusses the risks faced by sponsors of defined benefit pension plans and how actuaries can help these plan sponsors adopt plan design strategies to manage these risks. From the Record of the Society of Actuaries, Vol. 31, No. 2.

Description: SOA Workshop-Art of Reserving overview table listing.

Description: These are presentation slides to supplement, Mortality Under Standard Individuality Life Insurance Between 1999–2002 Anniversaries from ARCH, January 2006.

Description: Speculative fiction story regarding time travel and implications.

Description: The presenters discuss the results from the CIA/SOA-sponsored survey on analytics practices of the Canadian life and health insurance industry. This is an opportunity to understand what other companies are doing and benchmark your practices with those of your peers and gain deeper insights about potential applications and their perceived value and effort. Attendees do not need specialized knowledge in predictive analytics to benefit from the information presented. Examples are provided from a Canadian context, but potential applications are relevant across a wide spectrum of geographies.

Description: This second session in the series examines responses to the changing workplace landscape from outside the insurance industry. Using a question-and-answer approach with our panelists, this session focuses on practical approaches to identifying new opportunities, and ways in which traditional products and sales channels are changing to meet emerging needs. Compared with other vertical financial services, the life insurance industry has a very low level of 'touch' with its customers. Communication with customers is often limited to the annual mailing of premium invoices. Wellness platforms offer life insurers a means to increase customer engagement, building stronger brand affinity and improving persistency. Life insurers can also leverage customer data collected through the wellness platform to streamline the underwriting process for cross-sales, increasing volume and efficiency.