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Data

There is more data available now than ever before. Understanding the best data to use for underwriting, how to use data for risk management and how to exchange increasingly large amounts of data between parties are key considerations.

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InsTech Podcast
October 11, 2026
The hard 20%: where AI could create the most value in insurance
In this episode, Robin Merttens speaks with John Hele, Co-Founder and Executive Chairman, and Greg Framke, CEO and Co-Founder of Portage AI, about why they believe the biggest opportunity for AI lies not in automating the easy work, but in tackling some of insurance’s most complicated processing and data challenges.
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September 23, 2026
Fathom makes UK flood catastrophe model free to access 
Fathom has made the UK region of its Global Flood Cat model free to access, including for commercial use. Watch Fathom co-founder Andy Smith discuss the role of validation and transparency in flood modelling.
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InsTech Podcast
September 13, 2026
From days to minutes: rethinking facultative reinsurance
Joining Matthew Grant on the podcast, Dom Sindall, Head of Digital Broking, Facultative at Marsh Re, and Stephen Sheehan, Head of Analytics, Facultative at Marsh Re, explain how digital trading, automation and better data could reduce facultative placement times from days to hours or even minutes.
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Video
July 15, 2026
The end of ‘good enough’ exposure data
InsTech hosted a webinar in collaboration with ZestyAI, exploring how more complete and precise property-level exposure data is helping cedants strengthen their portfolio narrative, brokers negotiate with greater confidence and reinsurers underwrite with greater precision.
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InsTech Podcast
July 12, 2026
Beyond a single view of risk: why catastrophe modelling is becoming more collaborative
In this episode, Matthew Grant speaks with Rob Newbold, President of Catastrophe and Risk Solutions at Verisk, about why the future of catastrophe modelling is becoming more open, collaborative and accessible.
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Video
May 14, 2026
Transforming catastrophe data into actionable claims insights
InsTech and McKenzie Intelligence Services explored how military-grade intelligence techniques transform catastrophe claims by combining satellite imagery, weather data, and expert analysis into verified, actionable insights that reduce dispute, fraud, and reputational risk.
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InsTech Podcast
April 19, 2026
Is your data useful or useless?
In this episode, Matthew Grant speaks with Mark Cunningham, Managing Director at PriceHubble, about how insurers can move from fragmented data to genuinely informed decision-making.
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InsTech Podcast
March 1, 2026
Rethinking Build vs Buy in insurance
In this episode, Matthew Grant sits down with Nicola Turner and Alex Ley, co-founders of Scrub AI, to explore one of the most pressing strategic questions facing insurers today: Build vs Buy in the age of generative AI.
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Video
January 23, 2026
Europe exposed: Modelling, markets and the next generation of cat risk
This webinar brought together leading voices in risk modelling, insurance markets and policy development to examine how Europe can better anticipate, quantify and manage these growing risks.
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Video
January 22, 2026
The coastline is moving: Is your model keeping up?
Storm surge remains one of the hardest perils to underwrite with confidence. In this webinar hosted with Ocean Ledger, who focus on the underlying coastal drivers of storm surge, and KatRisk, we explored how you can use up-to-date standardised, scalable data inputs alongside established models to reduce uncertainty and improve risk selection.
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InsTech Podcast
December 21, 2025
How insurers can better evaluate cat models in a multi-vendor world
In this episode, Claire Souch is joined by Tom Philp, James Lay and Stephen Martin for a timely discussion on the future of catastrophe model evaluation, and why it's no longer enough to simply trust what’s in the black box.
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InsTech Podcast
December 14, 2025
The rise of niche model vendors
In this episode, Brian Owens is joined by Dana Foley, Joss Matthewman and Olivia Sloan to explore the growing influence of specialist model vendors in catastrophe risk modelling and why they’re anything but “niche”.