Joe McKendrick

Many companies still operate in the dark while unknown numbers of customers are turned away by websites suffering slow or tedious processes.

10 years after the original call for agile business philosophies, where are insurers prevailing and what do they have yet to learn?

Where do you draw the line between distributed servers and mainframes? Is there even a line anymore?

The conveniences of small size outweigh certain impracticalities as tablets and smartphones enamor insurance executives and agents.

Outsourcing is still a multi-billion dollar industry, but the future is getting cloudy as the market braces for a transitional phase.

Business necessity – or perceived lack thereof – holds back many modernization efforts.

Growth of spending on risk management tools projected to outpace the growth of overall IT spending, making it the hottest corner of the IT market.

Insurance executives downplay their service delivery and mobile capabilities so far, which is promising.

Carriers need to strike a balance between standardization and customization when writing policies and paying claims.

As the industry becomes increasingly digitized, marketing and IT must inevitably learn to utilize the integral skill sets they can offer each other.

Using Wayne Gretzky as a model for effectively processing Big Data.

How one financial services outsourcer reduced the pains of taking on new customers.

Five things IT executives should do to enhance the profitability of their departments.

Delivering standards across changing technologies and platforms is a fast-moving target. What can we do to shore up our efforts?

Everyone wants and needs to 'compete on analytics,' but who will assure the right data is being used?

With success in fraud detection, automated decision management could spread to low-level decisions in policy administration, underwriting and more.

New survey of CIO's 2012 priorities begs for a definition of "IT and business alignment."

IBM's annual X-Force report reveals the latest trends and abandoned tricks among IT security threats.

A natural-language supercomputer holds unlimited potential in unraveling uncertainties surrounding claims and conditions.

What's different about today's 'Big Data' when compared to 'Big Data' in 2000 or 1990?