Simon de la Hoyde
speaker
94 appearances
2 recordings
1 series
first heard Jul 2026
last heard 11 Aug
Simon de la Hoyde’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 2 in all, peaking in Aug 2026 with 1.
Appearances
And primarily around the fact that there's a level of complexity around processing and presenting geographic data.
So we're pulling together, as Mark says, data from many different sources.
maximizing the amount of that that is observed, surveyed, measured in some way, rather than purely modeled.
We want to provide data that we can stand behind.
And so the provision of that information looks at multiple layers of geographic risk,
But some of that is predicted by very eminent scientists in hydrology and geology.
And also the property characteristic information is information that is coming from trusted sources.
So we're doing some pretty clever things with how we look at different geographic units, whether it's postcodes, land parcels, building outlines, radial areas, hexes, and this is bringing multiple layers of information together.
We know that we're good custodians of that and ensuring that from a large language model and a deployment of AI integrated support and technology and decisions that we keep a close eye on that quality of output.
Just to add to that, what I've found from customers is there's a lot of time spent in the last six to nine months in trying to absorb what AI is and how it can operate and how it can benefit.
This is from the underwriter's perspective.
They're learning.
And I think the manifestation of that is very much a clear sense that AI isn't the beachhead to drive everything forward.
It's understanding what the requirements are within the business and then looking at how AI can support that and in its constituent components towards solving the requirement and the problem that underwriting teams have with more and more complex risk, more and more
need to be quick and speedy towards quotation in order to secure and win business but do that with accuracy and high quality outcomes and data so that driving of thinking about it from a requirement and problem point of view rather than this is a tech to solve the domain
Absolutely.
That's sometimes one to three month lag in terms of understanding the accumulation position is a common theme that comes back to us from underwriting teams in terms of simply they're being restricted in their ability to issue the pricing and the terms.
And certainly what point of quote accumulation provides is a very, very strong sense check of the level of risk that a particular portfolio and risks within that portfolio are bringing.
And underwriters want to write risk.
They want to find solid, justifiable, stand behind reasons why they can and should write a risk at the right price.
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