Customer data

Given advances in technology reviewing unstructured documents to identify and extract key terms and medical data can result in an expedited process.

Simon-Kucher expects customer churn and switching behaviors in auto-insurance to increase sharply in 2023.

Investment and innovation to keep drivers and people safe from distracted driving are necessary.

Both have a mutual goal of keeping systems secure and their customers' information private.

Three examples of how industry leaders are building brands and growth strategies based on personalization.

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.