Data management

At the heart of the industry's self-billing challenges is data — how it's stored, how it moves between partners, how it's cleaned for use.

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

The conversion process can be fraught with integration complexities.

Automaker collecting more varieties of telematics data to better inform insurers' coverage.

Improving data management technology can take routine work off insurers' plates, insurtechs and experts say.

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

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.

Chubb survey, digital insurance platform find concerns among insureds and more rules on the way

Digital Insurance spoke with Cyndee Morton, chief operating and innovation officer, Safety National Casualty Corporation.

Success depends on people, culture and processes.

Arizent research reveals how insurance companies stack up when it comes to making analytical decisions.

The benefit goes beyond compliance: It allows an organization to demonstrate that they are prioritizing the consumer's privacy expectations.

The leap from thinking within a complex, ad hoc, ungoverned world to one of order and trust is hard for many carriers.

The key to meeting consumer demands for greater personalization while boosting growth in an increasingly competitive industry lies in using the full array of data available.

Now more than ever, organizations realize that to manage their unprecedented data growth, a solid data strategy must be front and center for them to survive and thrive.

American Crop Insurance will use a risk management platform from Farmers Edge partner to improve insurance services for its clients.

A new report shows that enterprises need to change their mindsets to achieve sophisticated levels of digital maturity.

Decision makers oftentimes do not fully understand the technology and have not thought through the true costs of implementing artificial intelligence in their organization.