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Autonomous Vehicles: Major Disrupter Presents Challenges and Opportunities
Since the early 1960s, the insurance industry has been a major force behind the most significant advances in highway and vehicle safety, including electronic stability control requirements, seat belt ...
Hurricane Katrina’s Legacy
Hurricane Katrina was a deadly storm that caused a large loss to the insurance industry—but not so large that it shouldn't have been anticipated by the catastrophe models. In the months after this ...
Industry Consolidation: Too Fast for Some
There are many reasonable and compelling factors driving the ongoing consolidation of the property/casualty insurance industry, from a sheer overabundance of capital to an overwhelming need to reduce ...
Growing for the Future: Insurers Describe Their Leadership Development Programs
Today's executive leadership development programs are morphing from training at the senior level to cultivating the perfect dream team of executive leaders. Insurers now are tapping into the overall ...
The IoT Revolution: Coming to a Warehouse and a Theme Park Near You
Privacy risks related to potential hacks of Internet-connected devices are hot topics for carriers, risk managers and brokers, but possible business interruption losses should not be overlooked when ...
12 Essential Skills and Practices for the Leaders of Today and Tomorrow
What makes for a strong and sound leader? There invariably are a number of leadership archetypes: the charismatic leader, the paternal leader, the collegiate leader, the narcissistic leader—just to ...
Cultivating Leadership to Drive Business Results
Like many companies, we favor the concept of promoting from within for leadership positions. However, when we took a closer look at the makeup of our leadership team a few years ago, we realized we ...
‘B’ Is for Behavioral: What Big Data Means for Insurance
Big data is one of the signature issues of our time—and also one of the more poorly understood. Discussions of the topic often are clouded by what I call the "two dogmas of big data." The first is ...