Machine learning

To stay ahead, insurers must assess the factors shaping the industry including emerging technologies.

Alongside extreme weather events, issues like affordability and risk perception contribute to the lack of insurance protection.

Applying AI technology moves slowly, but has potential to produce more sophisticated insights

Improving data management technology can take routine work off insurers' plates, insurtechs and experts say.

AI tools can help insurers with historical loss projections more effectively predict the impacts of future catastrophes.

Coverage supports seniors continuing to live at home, offers wellness benefits.

The predictive model is powered by AI analysis based on data from over 1,500 wildfire losses.

AI and ML can find patterns in data, but when they're trained on biased data, they can compound the issues and perpetuate a self-confirming data bias cycle.

The cloud and SaaS can ensure that businesses are able to operate in real-time.

Digital Insurance spoke with Hemant Sarma, a senior VP and lead of IoT at Chubb.