Unstructured data

The unstructured data challenge in insurance is massive, but so are the opportunities for companies that effectively harness the information.

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

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

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.

High-resolution, high-frequency imagery assists insurers with claims processing, underwriting and post-disaster property inspections.

In measuring the volume of data, we have blown past exabytes and are now calculating volumes in zettabytes -- an explosion that's upending traditional processes.

It is a powerful positioning for insurance carriers to view themselves as data companies first, incorporating that information across all facets of the organization.

Across the industry, carriers report that basic third-party data capabilities are common and that pilot activity is high.

The company combines its previous court-records database with state motor vehicle records with the goal of removing steps for insurers.