
Personalized Driver Coaching: From Accountability to Profitability
September 18, 2019 9:08 pm Leave your thoughtsOld habits die hard. We know we shouldn’t eat another cookie, stay up another hour, roll through another stop sign... View Article
Old habits die hard. We know we shouldn’t eat another cookie, stay up another hour, roll through another stop sign... View Article
Despite the many effective applications of automotive telematics, there remains a fundamental question. How can insurers, drivers, and lawmakers use that data to implement driver coaching and improve driving behavior? And, how can they make sure those positive changes stick? Knowledge is power. And automotive telematics shines a precise and helpful light onto driving behavior that many drivers may or may not be aware of.
Artificial intelligence, or “A.I.,” has already begun to transform things that were familiar to us into things that are much smarter, faster, and better. We choose movies, compose text messages, discover new music, and get driving directions all with the help of A.I. But how can artificial intelligence improve insurance?
The rise of data is the rise of information. And in vehicle telematics, that information matters to insurers. Which brings up the issue of insurance data exchanges.
When it comes to auto insurance telematics, claims are where the rubber meets the road.
Claims make up the majority of expenses for automotive insurance providers. And claim resolution is both the reason drivers have insurance, as well as their biggest consideration when choosing a provider.
What is the future of autonomous vehicle insurance? It is a question that grows more important every day.
With companies like Toyota, Uber, and Google, currently working to perfect the technology, the question is not will autonomous vehicles fill our roads, but when?