2023

Jul, 2023

AI and Machine Learning in Re/Insurance series: Generative AI in (Re)insuranceOpens in a new window

A relatively new way of utilizing machine learning (chatbots have been around since the 1960’s) has emerged, spurred on by an increase in computational ability (GPUs) and new model architectures (Ian Goodfellow et al. 2014 GANs, Vishwani et al. 2017 Transformers).

Jul, 2023

Punitive Damages, Extra Contractual Obligations, and Losses in Excess of Policy LimitsOpens in a new window

This paper presents an overview of punitive damages, extra-contractual obligations (ECOs) and losses in excess of policy limits (XPLs). Our insights cover what they are, how they (adversely) impact loss experience, and how underwriters can seek to mitigate the exposure.

Jul, 2023

Juryology: Unpacking the Psychology of Jurors – July 11, 2023Opens in a new window

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Jul, 2023

Shaking Things Up: Global Seismic OutlookOpens in a new window

In this series, Adam Hatzikyriakou, PhD, PE, focuses on earthquakes. Part III gives a global seismic outlook and covers topics such as Seismic Hotspots, Construction Practices and Sub-Perils.

Jun, 2023

AI and Machine Learning in Re/Insurance series: The 3 Pillars of Machine Learning AdoptionOpens in a new window

Re/insurers engage in a difficult style of trading with a capped upside (the premium) and a potentially unlimited downside (the loss) delivering asymmetric risk/returns. Machine learning creates optionality that helps rebalance the asymmetry.

Jun, 2023

Shaking Things Up: California and the Next “Big One”Opens in a new window

In this series, Adam Hatzikyriakou, PhD, PE, focuses on earthquakes. Part II highlights important features of California's seismic risk. Stay tuned for Part III.