Machine learning

AI and predictive analytics provide a more rigorous approach to risk management.

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.

The approach uses AI and ML to leverage real-time metadata from agents and brokers to guide campaigns.

Krishnamurthy says insurers are acknowledging the staying power of insurtech and its valuable ability to disrupt the insurance industry.

The Demex Group launched offerings that provide financial climate resilience for snow-dependent businesses and property owners.

Digital Insurance spoke with Anshuman Prasad, global head of risk analytics at CRISIL, a risk advisory firm.

To realize the full value of data as an asset takes more than the right algorithm.

Accenture released its Why AI in Insurance Claims and Underwriting?

D2C policy acquisition and servicing aren’t as hard as they might look.

The time is ripe for the U.K. microservices-based digital underwriting platform to expand on successes to date in its market

One example of a typical deep learning application is pattern recognition applied to digital images.