Joan Saladich

speaker

211 appearances 1 recordings 1 series first heard Jun 2026 last heard 2 Jun

Joan Saladich’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.

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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

Not just a qualitative insight or a checklist thing, but maybe more quantitative, including uncertainty.

There is also an evolution.

So I would say that.

But underwriters, but also ESG, they are both every time more and more interested in climate data, in complex climate data, and in embracing this complexity, this uncertainty, which is the difficult thing here.

Absolutely.

And about this LM point, just a small reflection based on my personal view.

Because back in 2023, 2024, I was kinda, let's say, AI pessimistic or non-believer.

Yeah, like this is not gonna work.

But at some point, as I told you at the beginning, we have our own climate change models.

The funny story here is that when we were developing this kind

Climate change models and it was by that time 2022, 2023, then we got the support from the European Space Agency so that we can put them on a platform and serve data.

I remember talking to one of our colleagues from the industry, and he was saying, Joan, you've been so much in a cave that you developed something that nobody has, but it's so complex because we're showing accuracy metrics, we're showing agreement or disagreement of the different

Projections.

Then we went to market in 2024, 2025, and it was like, wow, that's super cool, but it's super complex.

The traffic light thing.

But there was a point, pivotal point, in my view, I'm not an expert in AI, but maybe it was when ChatGPT launched 5.1 or something like that, mid-late 2025, that all of a sudden we realize that AI can

Interpret our data, can interpret the uncertainty, can interpret the accuracy metrics, understand the projection.

We have like seven different scenarios, not two or three.

We have seven.

And AI knows how to combine it.

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