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.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 6 in all, peaking in Jun 2026 with 3.
Appearances
Hello and welcome.
My name is Jake Harding, and you're listening to Making Risk Flow Exploring the Ecosystem, a new companion series to the Making Risk Flow podcast, where we sit down with data providers, technology leaders, and Seitora partners to uncover actionable knowledge on how insurance can achieve frictionless risk flows.
How do you see that playing out and what do you think that means for how specialist data like geospatial intelligence should be delivered into an underwriting workflow?
What changes commercially if an underwriter can ask at the point of quote, something along the lines of, what else do I already ensure in this building or this fire block or this flood catchment?
And could that kind of visibility let a carrier write risks that it's competitive?
And I guess building off a couple of the points in kind of both of your responses there, so some markets uh they're forced to live with natural catastrophe far more often and more severely than others.
And you touched on Japan and Australia.
So do markets under the most pressure end up further ahead in how they understand and use property data?
There are whole areas and perils that carriers treat as effectively unwritable and they blanket them out of appetite.
What are the specific factors that would tell you that a location inside one of those zones has perhaps moved to being safer and in appetite?
What are the things that genuinely separate exposed property from one that just looks exposed because of where it is?
Why is this oversimplification fundamentally flawed and how does it break down when an underwriter tries to evaluate the same peril in maybe vastly different climates?
And finally, if an insurer successfully transitions away from generic reporting dashboards and embraces true AI-driven climate intelligence, how does that fundamentally change their confidence and capability when evaluating and pricing long-term and particularly multi-year commercial contracts?
So I believe that
I want to talk a little bit about the opportunity then.
So how does growing climate volatility and geopolitical factors, those things are shaking up global supply chains?
How does that represent an opportunity for insurance to think about new applications for such data to better understand and underwrite risks?
Why is real time data, transparency and explainability more important for modern insurance carriers than simply increasing the raw volume of information they receive?
Of scaling and build versus buy, how does the combined value of solutions lead to a whole that's greater than the sum of its parts?
And how does it allow insurers to buy key robust components and seamlessly assemble them, accelerating their transformation without the massive maintenance burden?
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