
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.
Do you have an idea on how to make the industry a better place to work and do business? Here are some characteristics of entrepreneurial winners.
You can always spend more money to shore up data protection, but here's what else needs to be done.
AI is giving insurance new ways to enage with their customers, process claims and adjust risk.
How does an insurance organization transform to digital when its digital technology experts are so strapped for time and resources?
The two technologies account for nearly half of global insurance tech investment, up from 10% in 2015.
The insurance business is changing, and all technology providers have something to contribute.
Steps to help ease the transition from people-centered processes to machine learning and AI.
Savvy investments, partnerships and hiring practices seen as key to digital transformation.
Technology is adding a new dimension to insurers' analytics practices as essential information for customer applications may be already readily available.
According to the latest data from Venture Scanner, overall InsurTech venture funding grew at an annual clip of 31% from 2011 to 2017.
Embracing the cloud will make the transition to digital processes less painful.
The pressure is on to go digital, but staffing and budget headwinds mean that tech leaders must think on their feet.
Examples of insurance processes being automated through RPA include first notice of loss, fraud checking and policy renewal.
Pessimistic about their preparation for disruption, insurers are ramping up their innovation efforts to match what new entrants are doing.
As technology supplants old insurance jobs, new opportunities are available for enterprising individuals.
Companies are lured in, spending oodles of money on functions and features they dont really use to their full advantage early on in the transformation process.
DARPA predictions include the possibility that devices or applications will be capable of being launched by human thoughts.
It's not just for software engineers.
When it comes to launching an internal startup such as an insurtech operation, a separate organization, with its own culture, is needed.
As AI and machine learning encroach on the insurance business, business cases are formed.