GRAPHT

GRAPHT

GRAPHT – next-generation web-based visual analysis software, designed to identify fraud and crime in vast amounts of data.

This revolutionary tool, accessible online, harnesses the unique capabilities of modern hardware to unleash the true power of interactive network visualisation at scale. 

Most serious fraud, especially high-value or organised crime, is hidden behind subtle connections between multiple entities (people, places, organisations).

Legacy visualisation software has always been limited by scale. GRAPHT removes that limitation, allowing ALL relevant data to be available for analysis; non-obvious relationships and sophisticated fraudulent patterns in networks suddenly become apparent.  

GRAPHT enables intelligence teams to see and analyse more of these complex networks at scales up to 100 times that of legacy visualisation products.

GRAPHT’s stunning 3D visuals bring fraudulent and criminal networks to the fore with analytical features that simply aren’t available anywhere else.

https://grapht.app/

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We set the stage for Operations & IT leaders to tackle the biggest issues:

Operationalising AI

From getting the architecture right to scaling adoption, find out how Generali, AXA and Zurich are leading the charge.

Becoming a digital-first insurer

Discover how esure’s CEO has led a radical redesign, having now migrated 1.8 million policies to a new scalable, flexible, cloud-native platform.

Ensuring cyber resilience

Gain insights from Howden, Sompo, Markel and Marsh on designing and building truly safe and secure systems.

Legacy modernisation

Hear how the CTOs & CIOs of Generali, RSA and NFU Mutual are tackling data siloes, redesigning operations and modernising architectures.

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Becoming a partner for life

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New data, new opportunities

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Embedded insurance

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Unlocking true personalisation

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The Open Data opportunity

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True data maturity

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Value-added services

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Leveraging advanced AI

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The affordability challenge

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PLUS a dedicated pricing, product and underwriting meet up during the event