In this episode of Making Risk Flow: Exploring the Ecosystem, host Jake Harding speaks with Dave Wood, Managing Director at JBA Risk Management, about how AI and deep learning are reshaping catastrophe risk modeling. Dave explains how neural networks can simulate extreme climate scenarios that fall outside historical records, helping insurers better understand compound and tail risks. The conversation also explores why model transparency and rigorous validation are essential as AI adoption accelerates, and how insurers can scale advanced weather simulation without sacrificing accuracy. Dave also shares practical guidance on integrating best-in-class AI tools into existing risk platforms, rather than building everything from scratch in-house. Fan Mail: Got a challenge digitizing your intake? Share it with us, and we’ll unpack solutions from our experience at Cytora.To receive a custom demo from Cytora, click here and use the code 'Making Risk Flow'.Our previous guests include: Bronek Masojada of PPL, Craig Knightly of Inigo, Andrew Horton of QBE Insurance, Simon McGinn of Allianz, Stephane Flaquet of Hiscox, Matthew Grant of InsTech, Paul Brand of Convex, Paolo Cuomo of Gallagher Re, and Thierry Daucourt of AXA.Check out the three most downloaded episodes: The Five Pillars of Data Analytics Strategy in Insurance | Craig Knightly, Inigo 20 Years as CEO of Hiscox: Personal Reflections and the Evolution of PPL | Bronek Masojada Implementing ESG in the Insurance and Underwriting Space | Simon Tighe, Chaucer, and Paul McCarney, Moody's

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“What did the council decide on item 42?” — answered with the speaker and the moment.