In 2023, flooding was the second largest driver of insured losses across the world. Providing accurate high-resolution flood models remains one of the most important yet complex jobs for natural catastrophe modellers.
But technological advancements are making this complicated flood data more and more accessible to insurers. JBA Risk Management has been providing insurers with global flood maps for over a decade.
You joined us to explore the most important technological developments – including the use of artificial intelligence and heightened computing power – to see what this means for the insurance industry’s understanding of flood risk.
In this webinar we discussed:
- The complexities of modelling flood risk
- How five key technological developments have shaped flood modelling
- What technology is likely to impact our understanding of flood risk in the future
This discussion was with:
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- Helen Smith, Director, JBA Risk Management
- Simon Waller, Executive Chair, JBA Risk Management
- Moderated by Ali Smedley, Senior Research Analyst, InsTech
In collaboration with:
Continuing Professional Development
This InsTech Webinar is accredited by the Chartered Insurance Institute (CII). By watching, you can claim up to 0.5 hours towards your CPD scheme.
If your organisation is a Corporate Member of InsTech and you would like to start receiving a quarterly summary of the CPD hours you have earned through InsTech, then please let us know by emailing [email protected].
By the end of this Webinar, you should be able to meet the following Learning Objectives:
- Describe the evolution of flood risk modelling and some of the technological advancements driving innovation
- Explain the role of artificial intelligence (AI) in enhancing flood risk modelling accuracy and efficiency
- Summarise future trends in flood risk technology and assess emerging technologies poised to impact the future of flood risk assessment
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CII CPD accreditation demonstrates the quality of the learning of this InsTech event and confirms it meets CII CPD scheme requirements
