Description: Learn more about the predictive modeling that was applied to industry data for the lapse and mortality experience in the post-level term period. Novel approaches were taken to model the shock lapse, subsequent lapse, and mortality experience. Observe a demonstration of the Tableau tool, which was built to allow users to analyze data on their own.

Description: Big data and predictive models have disrupted the life insurance new business and underwriting processes over the past few years. How did we get here? What does the future hold? This session will review the lessons learned from the evolutionary process and discuss what the potential next steps are in this journey. Are real time fully underwritten decisions an achievable goal?

Description: ReMark's Global Consumer Study delivers 10 key insights to empower customers. Insurers can design products that meet customers' needs and enhance client experiences and add significant value to their business. At the same time with new products being launched seemingly continuously, it is important to take a step back and assess risk throughout the product management cycle.

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