AI & Machine Learning

We're certainly at the end for companies creating chatbots for the sake of having a chatbot. But a bigger movement is afoot.

While AI systems can now learn a game and beat champions within hours, generating lots of hype, they are hard to apply to business applications.

AI could transform the relationship between insurer and regulator, with implications for public trust and executive careers.

Robotic process automation provides huge benefits, but insurers may invest too heavily in RPA if they treat it as a long-term answer.

The crux of the problem: Insurance companies, born in the era of the horse-drawn carriage, were not built to capture big data.

Lemonade says that, being built on AI and behavioral economics, means that they’re building something with cross-border appeal.

Robotic process automation (RPA) can be a cost-efficient, short-term solution for poor systems integration -- but there are risks.

Insurance is now ready for an AI-based analytics platform that can help minimize claim costs and improve customers’ claims experience.