Data Analytics

Insurers face critical choices between modern legacy systems and true cloud-native solutions for digital transformation. Five myths can lead to bad decisions. 

Precision underwriting, driven by advances in data and analytical tools, enables granular risk assessment and personalized policy decisions.

Integrating insurance policy management software with the rest of an agency's tech ecosystem can generate insights and boost productivity. 

Here is a flexible software security review framework that organizations can use to improve their security posture.

Personalization must become built in, not something we try to build on top. It must be hard-coded into our systems and business.

Life insurers are expanding their approach by incorporating non-medical data sources, such as driving reports, credit histories, and public records. 

Generative AI enables self-learning models that continuously refine themselves using multimodal data, including text, images, and sensor data.

If an insurer is evaluating risk for properties along a Florida coastline, a discrepancy of as little as 50 to 100 feet matters during hurricane season.