Description: This article introduces IT DevOps to actuaries and how it is applicable to them to improve their modeling efforts and make them more efficient.

Description: Ensuring employees retire with adequate benefits is an ever-growing challenge. During this webcast, we will highlight key insights from the fields of behavioral economics and data analytics that can be utilized to better equip employees for retirement. Areas of focus will include inherent biases that people exhibit and how employers can use these biases to design plan features that will nudge their employees towards making better decisions for their futures.

Description: 1994 SOA Spring Meeting, Orlando. In this teaching session, techniques were presented to get the optimal result with the least effort. Techniques discussed: 1. Look at the whole process, working backwards from the result. 2. Look at all of the pieces of the job and redesign. 3. Bring technological tools into the process.

Description: In September 2017, the China Insurance Regulatory Commission (CIRC) issued the “C-ROSS Phase II project construction plan”, planned to be used across three years’ time, by perfecting the regulations, improving the operational mechanism and strengthening the regulatory cooperation.

Description: The following case study walks through the steps of a predictive modeling exercise to illustrate one way analytics can streamline the underwriting paradigm.

Description: 1998 Valuation Actuary Symposium. The panelists discussed the benefits of data integration, data warehousing, what OLifE is now, and what it is projected to be in the future.

Description: How the speed of change is accelerating and how we could react to this as a profession.

Description: This article describes one of the keys to successful marketing in the current environment - build a relational database that will help the agent communicate with a client in an organized way, so that we can educate, inform, present choices and help these clients navigate their financial future. This article provides the elements of such a database.

Description: This article summarizes five key lessons we have learned in implementing LDTI and shares our insights on practical ways to address them. This is not an exhaustive list of implementation challenges, but companies that can successfully tackle the issues we describe should have a smoother data and systems implementation transition.

Description: Today’s most admired brands in several industries not only provide sales and service but also continually keep in touch with their customers to foster trust and build long-term relationships. Life insurers have traditionally played the sole role of manufacturer while leaving customer engagement to intermediaries. Some would argue that engagement is merely a marketing tool. Others say the time and effort invested in customer engagement programs has not produced any tangible benefit. What is the truth? During this webcast, you will: Learn about actionable ideas Hear real-life success stories in creating meaningful relationships that deliver value to both customers and businesses