Joe McKendrick

Companies are lured in, spending oodles of money on functions and features they don’t 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.

Companies that don't find incumbents to partner with them face a tough road.

The challenge for insurance companies is that tech talent is a precious commodity, especially at a time when moving into the digital realm and exploiting data analytics is crucial to success.

Insurer's conversion to Salesforce prevents end users from having to improvise ways to cobble together data.

As automation increases, it’s not that jobs will be entirely eliminated, it’s more likely that jobholders will see the nature of their tasks shift away from repetitive tasks and toward people-oriented tasks.

Insurers can benefit from a re-orienting of traditional markers of business success for the digital age.

The challenge for insurance IT managers is to sell their workplaces and companies as cutting-edge opportunities for IT professionals.

Many organizations, especially insurance companies, have been attempting to straddle the (little-D) "delta" between enormous stores of legacy assets and 2010s-era digital demands in recent years.

Insurance technology is increasingly resembling that of the Amazons, Googles and Facebooks of the world – responsive, smart and adapting from sub-second to sub-second to changing realities.

The sweet spot for insurers' online distribution efforts and startups looking to innovate may be the small business insurance market, study finds.

AI may not be a perfect fit for insurance companies, at least not yet.

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.