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LATEST EDITION - OUT NOW
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Our cover story is from Emmanuèle Lutfalla and Louis Fer from Signature on why AI losses have no natural insurer. We also have Rolf Hamm from WTW on the advent of a super El Niño with an article entitled Managing hyper-volatility when the extreme becomes the norm. Sanjay Nursing from SAS has an article on insurers customer fairness isn’t a nice to have it’s your duty. Our regular authors are also prominent with articles, amongst others, Dale Critchley outlines why employers investing in a pension scheme can pay dividends for them. Helen Richardson from LexisNexis tells us why Connected and Contributory Data is Key to Fighting Insurance Fraud.
With Clerical Medical deciding to exit the defined benefit pensions market, many affected schemes are now considering their options and what comes next. For some trustees and sponsors, the immediate priority will be finding a replacement. This change also provides a valuable opportunity to step back and consider how a different approach could deliver greater benefits to the scheme, whilst reconsidering the near and longer-term objectives. For many years, the Guaranteed Pension Contracts (GPCs) offered by Clerical Medical provided a practical solution.
If your organization relies on exposure maps and off-the-shelf natural catastrophe (nat cat) models to assess its risks and potential losses, you could be risking inefficient risk management, over or underinsurance, as well as poorly aligned coverage. While traditional exposure mapping shows whether your assets sit in a flood zone or earthquake region, it doesn’t tell you how an asset would behave during an event. How might the design and construction of buildings and equipment shape your likely losses?