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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.
Hailstorms present a growing threat, but insurers can minimize losses by studying storm data.
Insurance companies and purchasers should prepare for artificial intelligence to become a reality within a decade or three.
FEMA's recent flood map exempted about 60,000 homeowners in New Orleans from required NFIP coverage. Will private insurers step in to offer protection?
The race is on to develop a CAT bond-like vehicle that could build an extra layer of protection against cyber threats.
When self-driving vehicles meet the sharing economy, numerous industries will need to brace for change; insurance among them.
A new Deloitte report finds internal audit functions fall short of stakeholder demands.
Assessing the value of automated loss runs as a way to increase underwriting efficiency.
Can insurance innovate by adding a location component to data?
Regardless of what form data takes, data is and will be the engine that drives market forces now and in the future.
Start-ups and established insurers are focusing on online, direct sales of insurance to small and medium-sized businesses.
Improved analysis underpins coverage to smooth the intermittent nature of wind, hydro, and even solar power
There are valuable lessons to be gleaned from approaching cyber risk as you would an active volcano.
Mid-size employers transitioning from fully insured health care plans are intrigued by stop-loss captives.
Site-specific risk assessments do what standard models can’t, benefitting both insurer and insured.
The threat of a catastrophic cyber attack on our infrastructure is real.
Modeling cyber risk accurately is key to avoiding a subset of D&O claims.
How a smart shirt and lifting weights can trump Big Data.