Joe McKendrick

The accuracy, scalability, consistency and accessibility of APIs is critical to avoid potential errors or issues.

While enterprises are hungry for talent to bring them into the analytics age, skills shortages have been holding them back. Can automation help alleviate the need?

Machine-learning algorithms may already be having a huge impact on many key business processes, from customer service to managing finances.

Venture Scanner says $435 billion has flown to 535 insurance tech startups. Here are the top winners.

Why one expert thinks blockchain technology is a good fit for the insurance industry.

That depends on the agent's depth of dealing with customers, say experts.

Enterprise architecture tends to be misunderstood and marginalized, but some insurance companies get it, and are leading examples for others.

Within the span of an insurance transaction, there are multiple phases involving many different moving parts, from the time a customer requests a quote to the application process to claims.

New business and analytical models are changing the way existing players do business, not disrupting with Silicon Valley-style startups.

Is it time for insurance companies to start gravitating away from the business of managing large data centers to depend on the cloud?