Marty Smuin, CEO: Arturo: Protecting against assuming unsustainable risk (291)
Arturo is a property intelligence company which combines multispectral imagery, geographic data and customer portfolio insights with machine learning models in a single platform. A lot has developed in property intelligence since we last spoke to Arturo on the podcast. Matthew Grant caught up with CEO Marty Smuin about how generative AI is adding a new dimension to property analysis. Arturo knows that it is expensive to be wrong in insurance. Find out how Arturo is aiming to tackle relying on outdated public records, incomplete tax assessor data and more in this episode. Key talking points include: Using third-party data to reveal greater insights Driving innovation - Smuin’s background in technology Partnering with Suncorp in Australia The power of high-resolution data in underwriting property - how Arturo is tapping into new sources of data The impact of generative AI on property risk assessment For more information on Arturo and how they can help, you find more information about the platform here and reach out to book a demo here. If you like what you're hearing, please leave us a review on whichever platform you use or contact Matthew Grant on LinkedIn. To find out more about InsTech, our membership and offerings visit www.instech.co or contact us [email protected] Continuing Professional Development This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Describe the methods Arturo uses to make property intelligence more accurate to improve the claims process Specify how changing climate and weather patterns have a direct effect on property analysis Identify ways in which generative AI is developing and innovating property risk assessments If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 291 page of the InsTech website or email [email protected] to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.