Insurance offers the perfect landscape for robotic process automation (RPA) because of the many repetitive tasks that form standard industry transactions.

As analytical efforts mature at an organization, it becomes increasingly important to build cross-functional teams in which data science is the primary focus and tool.

Companies are lured in, spending oodles of money on functions and features they donít really use to their full advantage early on in the transformation process.

Although access to markets is more readily available, consumers still seek advice and guidance from agents before making policy decisions.

Carriers should expect some agent skepticism whenever they announce the intent to modernize or replace their core systems, and proactively take steps to improve the acceptance.

There will always be a place for independent agents, but carriers will move forward with those that can leverage technology to provide ongoing value.

DARPA predictions include the possibility that devices or applications will be capable of being launched by human thoughts.

Insurers have never been in a better position to be able to tailor messages or offers to prospects based on their behavior.

Truly infusing an insurance organization with data-driven decision-making cannot start with hiring external employees and building stand-alone departments. It must start with frontline employees.

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