Data architecture

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.

Cybersecurity risk start-up sees biggest risks inside firewalls

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

How do you maximize efficiency in the application, quoting, and claims process and not invite new or additional fraudulent activity?

Digital Insurance spoke with Anshuman Prasad, global head of risk analytics at CRISIL, a risk advisory firm.

One example of a typical deep learning application is pattern recognition applied to digital images.

Big data provides an opportunity to instantly know more about a business than ever before.