Description: As a Canadian member of the Society of Actuaries (SOA), it is essential to attest to your compliance with the SOA’s Continuing Professional Development (CPD) Requirement for 2018–2019 by Feb. 29, 2020. Effective March 1, 2020, we will automatically change the member status to "non-compliant" for those SOA members who have not attested by this date.

Description: February 2016 Independent Consultant

Description:

Description: Artificial intelligence (AI) models have become increasingly popular in various industries, including finance. Such models can help lenders assess the risk of loan applicants, identify potential defaults and make better decisions about granting credit. However, the complexity of many machine-learning and, particularly, deep-learning models makes it difficult to understand how they arrive at their decisions. This lack of interpretability can be a significant problem in the legal and ethical realms, as it hinders transparency and accountability. Join us to learn interpretability techniques that are essential to address the challenges of using complex AI models in credit risk modeling. These techniques aim to provide a better understanding of how an AI model arrived at a particular decision or prediction. Techniques include surrogate models, which aim to provide a simpler model that approximates the behavior of the original model, and decision trees, which show the decision-making process in a more transparent way. However, applying interpretability techniques to AI models can be a challenging task. For example, some techniques can reduce the performance of the model, which can be unacceptable in applications where high accuracy is critical. Additionally, some techniques may only be effective for certain types of models or datasets, which limits their applicability. Despite these challenges, interpretability techniques are becoming increasingly important in the field of credit risk modeling. Financial regulators have recognized the importance of interpretability, and are starting to require financial institutions to use models that can be explained and validated. In addition, interpretability techniques can be used to improve the performance of credit risk models. By understanding how a model makes decisions, it is possible to identify areas where the model can be improved or where additional data may be needed.

Description: Every patient leaving the hospital has personal life-context circumstances that impact their chances of successful recovery and complications can be costly. Complex care management impacts over 50 percent of health care spend, with the admitted commercial population driving 37 percent of spend or $177M per 100,000 lives and the Medicare population driving 53 percent of spend or $600 million per 100,000 lives. The stakes are high, but existing care management solutions are mostly clinical and navigation call centers provide fragmented and outdated patient management systems, and do not address individual life-context. Discharged patients therefore remain underengaged and undercompliant, leading to costly complications. Innovative technology can help enable and integrate systems and existing infrastructure to leverage evidence-based contextualized care that will enhance care management, improve efficiency, and drive a better experience and outcomes for patients. This technology helps codifies life context, dynamically stratifying and engaging members digitally and telephonically helping virtual care teams to be more effective and efficient. In a recent randomized clinical trial, this technology and approach has shown a 50 percent reduction in the total cost of care, cutting the average and total cost of readmission, increasing virtual care team impact and member engagement and trust.

Description: How can we maintain our sanity while staring at the same screen all day, clicking into and bouncing out of meetings? To be successful in today's (remote) world, we must learn how to relate to individuals virtually. Join us for this 'Choose Your Own (Virtual) Adventure' session during which the webinar attendees will direct the subtopics to be addressed by the remote panelists (i.e., polling will be enabled in real time during the session). You will participate in topics based on the audience vote, some of which include: How can we best establish a professional and dynamic presence while working remotely? How can we develop and maintain solid rapport with our virtual colleagues as well as with those working in the office? What is considered to be appropriate etiquette when interacting with a co-worker via a computer screen? How can we effectively collaborate on technical and non-technical content while working from home? What is the best way to present to senior management without the ability to be in the room to read their body language? Hear from a panel of actuaries discuss their perspectives and lessons learned over the last few years on how to optimize our communication effectiveness in the virtual work environment.