The Texas flooding is a prime opportunity for insurers to learn more about automobile technology’s impact on claims numbers.

It’s important to set up environments where experimentation is possible.

The lack of accurate data, claim complexity and other factors are preventing predictive modeling from being effective for cyber risk. 

The data we collect is more powerful than ever before, but we still need to learn how to leverage it into information that can be acted upon.

Liberty Mutual’s new medical director says experience plus the rights tools equal superior claims outcomes.

Sometimes the best data you have is your own.

It will be a wild ride for the primary and excess GL market in 2015.

Experts see tremendous potential in using predictive analytics for to predict the probability of injury and disease.

Being a prompt payer insures against insolvency supply chain risk.

The Internet of Things may lead to more personalized insurance coverage, benefiting both insurers and customers.

Insurers need an enterprisewide data and analytics approach to products and customer service that includes social media.

Alternative capital is shaking up the reinsurance market, while issues such as Big Data are moving onto the agenda.

An earthquake decimates a retailer’s servers and its supply chain.

In getting safety program funding, an actuary is a risk manager’s ally.

An over-reliance on models is diminishing the art of underwriting.

An outcomes-based litigation strategy calls for benchmarking workers’ compensation attorney performance.

Analytics help identify actionable claims issues, but some tools are just “smoke and mirrors.”

As the strategic importance of risk management grows, new tools and technologies are required.

Brokers use social media and other digital channels to grow their businesses.

Commercial carriers must invest in technology to remain competitive.