
Joe McKendrick
Dig In contributorJoe McKendrick is an author, consultant, blogger and frequent Digital Insurance contributor specializing in information technology.

Joe McKendrick is an author, consultant, blogger and frequent Digital Insurance contributor specializing in information technology.
There are several generational, technological distinctions that could drastically affect how your data operations are run in the future.
There are several examples of where algorithms can and should take over for human decision-making, but experience is starting to spotlight strategic decisions that can't be taken over by big data.
Applications and software-defined infrastructures will likely highlight future, hopefully more successful, data consolidation projects.
In a recent survey, the majority of mobile consumers said they would switch companies for a more accessible mobile channel.
The industry's absence from a pair of recent rankings serve as a reminder that in order to attract the best IT talent, insurers need to appear open to innovation and experimentation.
Insurers may have tons of data about a customer's lifestyle and requirements, but agents provide a depth of understanding that algorithms will never crack.
Knowing file sizes, the volume of your application network, and plans for the future are on a list of tips and questions insurers should know and ask when considering a move to the cloud.
Most enterprises with mainframe computers are quite happy with their systems, and have plans for their expansion. Still, mainframes have an achilles heel the diminishing pool of talent that can write programs and run these machines.
Many insurers already had counter-measures against such competitors in place, in the form of strong web-based offerings and strong agent networks.
Many app developers fear the mainframe, and mainframe operators are suspicious of apps here's how to bring these two worlds together.
Developers and operations workers tend to come from two different worlds this has to change.
The U.S. Bureau of Labor predicts a 24 percent increase in demand for professionals with data analytics skills during the next eight years.
Three ways to assert IT's value and shift the perception among business leaders that IT is merely a cost center.
Some of the same data analysis technologies being used by Western governments are cheap enough to be employed by financial services companies as well.
In a new survey, most IT executives give their organizations failing marks for handling disruptions.
Cheap mainframe servers that support private cloud computing could change the way insurers think about enterprise architecture.
Half of marketers surveyed for a new report agree that data is the most underutilized asset in their organizations, according to a new survey.
Although it's a relatively new technology, SDDC could change the way data centers are funded, designed, provisioned and managed by extracting software and applications from hardware entanglements.
Data virtualization holds a lot of promise for minimizing data center woes, but it needs to be taken one step at a time.
Shouldn't digital be part of everyone's job description by now?