Description: Actuaries can serve an important role by exploring modeling and data analysis techniques to discover predictive patterns and relationships.

Description: As M2M are exponentially increasing, we will soon see reinventing of whole business models and customer relationships.

Description: Overview on current trends in medical practice impacting the LTC insurance business with a focus on dementia, risk stratification, and predictive modeling.

Description: Medical management programs have traditionally addressed more acute and short-term issues with chronic disease. As LTC becomes an important product in the insurance industry, including disease management is likely to be valuable for reducing costs and prolonging the healthy, premium-paying portion of a claimant's life.

Description: Update on Health Section research projects and topics, including new vision and mission statements for the Health Section Council, research and communications projects, and information about the Health Actuarial Research Initiative.

Description: 2016 marks the 60th anniversary of the Canadian Reinsurance Conference. This one day industry meeting hosting delegates from North America and beyond will be held in Toronto on April 13, 2016 under the theme "ReDefining Leadership".

Description: This article sheds light on the various ways machine learning can uncover patterns within data to add unique value and insights to businesses.

Description: Interview with Ian Duncan about his actuarial background and role in predictive analytics.

Description: Why small insurance companies should act now to enhance their reporting and analytical capabilities -How to start -Critical factors of success