Jake Harding

speaker

500 appearances 6 recordings 1 series first heard May 2026 last heard 11 Aug

Jake Harding’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 6 in all, peaking in Jun 2026 with 3.

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Making Risk Flow | The Future of Insurance · Beyond Traffic-Light Risk Scores: Building Climate Risk Models That Actually Work | Joan Saladich (Part 1) · 2 Jun 2026 podcast

I totally agree.

Without the complexity in the data, the context and value can be lost.

And we're at a really interesting tipping point where LLMs and AI are not only helping to kind of produce that data and those predictions, but they're also helping with the interpretation and the digestion of that data, which means you don't have to sacrifice the complexity, and you also don't have to sacrifice the efficiency.

efficiency and time that it might take to interpret that complexity because an L L M is fully capable of it now.

So yeah, thank you for that.

And that is, as I said, a super kind of vivid picture.

Yeah.

That resonates because I think I shared a similar view maybe three to five years ago.

And in that time, we were learning about the potential of AI.

I think based on consumer uses.

But when you think about it, LLMs are they are.

Are just kind of data aggregation interpretation and pattern recognition.

So it makes total sense that they are particularly adept at interpreting complex data and being able to turn it into kind of what's required.

So I mean, leading on from that, and we've discussed this a little bit already, but I want to dig a little more into it.

So much of the climate data today, as you say, was actually designed for ESG and non-financial sustainability reporting.

rather than genuine risk underwriting.

I want to understand in a little more depth the challenges or the potential consequences for commercial insurers who might try to retrofit what previously could be described as disclosure data into their actual pricing and risk models.

The

Yeah, absolutely.

I mean, it makes total sense with any data.

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