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This year's Excellence in Risk Management report reveals a gap between awareness of new technologies and the ability to employ them strategically.
A recent supplier snafu saw KFC’s UK outlets run out of chicken. The growing use of analytics address supply chain and distribution vulnerabilities.
The small commercial insurance sector has been slow to adopt predictive modeling, but a few best practices can make all the difference.
XL Catlin's data chief seeks not to replace underwriters, but to empower them to do their jobs better than ever before.
A presentation held in London drives home the point that flood modeling has a long way to go.
An accurate picture of total cost of risk emboldens different management layers to work together to seek solutions.
There is a move toward captives’ strategic use of surplus to fund risk management-based projects, analytics, consulting and more.
Determining total cost of risk has value; getting your hands on the right data set is the challenge.
Hear from risk and safety executives who reduced their claim frequency with the help of improved analytics.
The modern insurance industry is seeing volatility like it has never seen before.
Managing company culture will be very important in getting workers to use wearables.
Driverless car regulations are on the way that will bring about big changes in the insurance industry.
New cyber model platforms will help insurers better manage aggregation risk within their books of business.
That property in the foothills may look enticing, but climate change is driving an increasing occurrence of mudslides.
Risk managers share their experiences selecting RMIS systems and leveraging their full potential.
A shrinking insurance market drives interest in captive solutions for the transportation industry.
A new report helps insurers — and regulators — benchmark progress on climate change preparedness.
Palo Alto-based The Risk Authority Stanford is incubating risk management solutions using design thinking; that means elevating end users into key roles in addressing health care risk exposures.
The losses in commercial auto are disturbing but analytics provides answers.
Predictive analytics models are useless if their implementation lacks the necessary resources.