Data architecture

Applying AI technology moves slowly, but has potential to produce more sophisticated insights

The conversion process can be fraught with integration complexities.

Data issues hinder the member experience and cause premium loss for carriers.

The predictive model is powered by AI analysis based on data from over 1,500 wildfire losses.

There's a growing collective effort by national regulators, state governments, insurers and banks to address impacts of a warming planet.

Transformational technologies will also be critical in advancing personal lines underwriting, with 81% of insurers saying they are pushing transformation forward.

Digital Insurance spoke with Eric Sellenberg, technical director, Zurich North America.

Underwriting technology company shifts focus to workbench product

AI and ML can find patterns in data, but when they're trained on biased data, they can compound the issues and perpetuate a self-confirming data bias cycle.

Insurance data provider promises steady, time-saving operations.