Customer data

Without transparency and open communication throughout an insurance organization, precious data is liable to go to waste.

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

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.

About 1,000 patients have already had deeply personal data revealed on dark web forums, according to Medibank.

Insurance companies need to embrace decentralization and self-service.

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

The path to artificial intelligence implementation can be costly and arduous. Are financial leaders reaping the benefits?

A comparison of the various forms of cloud tenancy across five important areas for insurers: cost, security, agility, maintenance, and scalability.

Digitization can yield opportunities to provide more personalized experiences.

Digital Insurance spoke with Claire Burns, chief marketing and communications officer at The Hartford about digital customer experience and plans for the future.