Joe McKendrick

The insurance industry is known to be conservative when it comes to new technology paradigms, but may not be alone when it comes to data analytics.

The cost of a data breach is going up, and quick responses can save savvy organizations.

New types of solutions are reshaping the way technology services are delivered, both internally as well as to customers.

Existing data centers cannot handle all consumer data alone. Ultimately, a multi-layer hybrid approach needs to be considered.

The blockchain would reject multiple claims for one accident because the network would know that a claim had already been made, for example.

Dropping technology in and of itself on top of an organization will not deliver overnight success.

Insurance is joining the digital revolution in a big way. But the costs of insurance back-office operations need to come down to open up the gates of innovation.

Security needs to be part of all application and data activities up and down enterprises.

It’s only a matter of time until insurance companies emerge as software companies as well.

With the industry's focus on the Internet of Things, being 'closer to the ground' might be the right move.

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?