Craig Beattie is a senior analyst�with Celent�s Insurance practice, and based in the firm's�London office. He brings extensive experience in the use of enterprise architecture and applications architecture practices in the insurance industry, working with and within insurers.
For AI in insurance, the conversations have moved beyond the use cases and on to the pragmatic details.
It is relatively inexpensive for insurers to try out the technologies -- and not risk falling behind.
Opportunities arise for insurers to catch customers as Pokemon GO users wander into dangerous places.
How can an insurer increase in agility, speed to market and flexibility while keeping the support and maintenance costs manageable?
The holidays are a great to reflect and review how things have gone. Let's look at Celents predictions from 2012.
With Volvos announcement that they would accept all liability for the car in autonomous mode we see the first of three steps towards the end of auto insurance.
Experiment, but be careful of expensive, enterprise installations that are hard to extract later, and understand these types of projects can be more transient than other enterprise software.
We now are seeing a resurgence of AI, a blending of machine learning, predictive modelling and cognitive computing along with self driving cars, which raises some rare and interesting opportunities.
Machine learning and artificial intelligence libraries are now getting robust enough to contribute meaningfully smart or learning bots into the mix that can do a bit more than rote button pressing and reading screens.