AI & Machine Learning

New product technology are addressing the traditional pain points of data analysis, model development, and risk assessment for life insurance actuaries.

Operating in the cloud, data engineering and analytics drive efficient, personalized services while enhancing patient outcomes.

AI is beginning to be incorporated into products and may take on much more sophisticated operational tasks, acting as a semi-autonomous agent for a user. 

COVID-era tools designed to track worker activity have evolved into sophisticated metrics foundries and valuable AI data generators.

Risk management has been slow to adopt generative AI. Fortunately, that is starting to change.

As the insurance sector looks for ways to fast-track claims processing, adopting AI is not just a trend but a must.

Customers are making clear that they hold AI to higher standards than they do humans — and hate when AI makes decisions for or about them.

Cohort analysis and AI detect insurance fraud by identifying subtle anomalies, emerging trends, and contextual insights.